{"id":20471291,"url":"https://github.com/robertkist/ditherista","last_synced_at":"2025-04-13T11:03:58.331Z","repository":{"id":166739831,"uuid":"529540633","full_name":"robertkist/ditherista","owner":"robertkist","description":"A dithering application for Windows, Linux and macOS","archived":false,"fork":false,"pushed_at":"2024-01-23T10:52:58.000Z","size":2026,"stargazers_count":23,"open_issues_count":1,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-01-23T11:47:39.703Z","etag":null,"topics":["apple-silicon","c","cpp","dithering","dithering-methods","graphics","linux","macos","qt6","utility","windows"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/robertkist.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-08-27T09:32:26.000Z","updated_at":"2023-12-30T14:40:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"d0856e3a-2c28-4b4b-8077-f53d3b7de9c1","html_url":"https://github.com/robertkist/ditherista","commit_stats":null,"previous_names":["robertkist/ditherista"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertkist%2Fditherista","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertkist%2Fditherista/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertkist%2Fditherista/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertkist%2Fditherista/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/robertkist","download_url":"https://codeload.github.com/robertkist/ditherista/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224792475,"owners_count":17370788,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["apple-silicon","c","cpp","dithering","dithering-methods","graphics","linux","macos","qt6","utility","windows"],"created_at":"2024-11-15T14:15:39.777Z","updated_at":"2024-11-15T14:15:40.438Z","avatar_url":"https://github.com/robertkist.png","language":"C++","readme":"# Ditherista - A Ditherer for Windows, Linux and macOS\n\n\u003cimg src=\"https://user-images.githubusercontent.com/9162068/229359300-20052fc7-31a4-4fea-8aa5-7f03f83a1397.png\" width=\"300\" height=\"84\"\u003e\n\nDitherista is a small Windows, Linux and macOS GUI application for creating black-and-white dithered images.\nIt features easy import and export and over 90 different dithering methods.\n\nMain interface on macOS:\n\n\u003cimg src=\"https://user-images.githubusercontent.com/9162068/187024605-31804def-f5c6-4dde-a9f9-45882dd38836.png\" width=\"618\" height=\"492\"\u003e\n\n### Downloads for Windows, macOS and Linux ###\n\n[Download from Github Releases](https://github.com/robertkist/ditherista/releases)\n\n### Ditherista Features ###\n\n* Over 90 different dither methods with adjustable parameters\n* Import / export your files via drag \u0026 drop, copy \u0026 paste or via open and save file dialogs\n* Adjust brightness, contrast and gamma\n* Available on Windows, macOS and Linux\n* Performs calculations in linear color space for increased accuracy\n* Supported image formats: PNG, JPG, BMP, GIF\n* Support for HiDPI and Retina displays\n\nMain interface on Windows:\n\n\u003cimg src=\"https://user-images.githubusercontent.com/9162068/239162099-6d5a0d75-64a4-4777-950d-688246225888.png\" width=\"712\" height=\"552\"\u003e\n\nMain interface on Ubuntu:\n\n\u003cimg src=\"https://user-images.githubusercontent.com/9162068/239168026-074bb5ab-19a3-42f0-85d6-eee34eda32ec.png\" width=\"707\" height=\"502\"\u003e\n\nWindows Installation\n--------------------\n\nRun the setup.exe file and follow its instructions. Shortcuts for launching the application will\nbe created automatically by the installer.\n\nmacOS Installation\n------------------\n\nDouble-click the .dmg and drag the Ditherista appliation into your system's Applications folder.\n\nUbuntu Linux Installation\n-------------------------\n\nEither double click the .deb file to install it, or install via the command\n```dpkg -i ditherista_setup.deb```. Ditherista supports HiDPI mode on linux, however, depending on\nyour display manager, it may not automatically recognize it. In this case, launching Ditherista via\n`QT_SCREEN_SCALE_FACTOR=2 ./ditherista` may help.\n\nBasic Usage\n-----------\n\nTip: Also consult the built-in Help for instructions. \n\nLoading images:\n  * Drag an image into the application from the Windows Exporer or macOS Finder.\n  * You can also use copy and paste to load images\n  * Or use the File-\u003eOpen... menu entry or the ```CTRL+O``` (Windows and Linux) / ```Command+O``` (macOS) keyboard shortcuts\n\nDithering an Image:\n  * Pick any ditherer from the right hand side list\n  * Below the list you will see the selected ditherer's name and any options you can adjust\n  * On the bottom, you can adjust the source image's brightness, contrast and gamma. There\n    is also an option to show the source image, so you can directly compare it with the \n    dither results.\n\nSaving dithered images:\n  * Drag them out of the viewport onto the Desktop or an open folder in the Windows Explorer of macOS Finder.\n  * You can also use copy and paste to export the current dithered image\n  * Or use the File-\u003eSave and File-\u003eSave As... menu entries or the ```CTRL+S``` (Windows and Linux) / ```Command+S``` (macOS) keyboard shortcuts\n\nNotes:\n  * The largest image size supported is 4k by 4k resolution.\n  * The DBS ditherer can take up to a minute or longer to calculate the dithered image on slow systems!\n  * Dithered images will be cached, so they won't be re-calculated every time you switch ditherers. However, the\n    cache will reset when you adjust the source image.\n  * You can use the cursor keys to quickly move up and down the list of ditherers.\n\nBuilding from Source\n--------------------\n\nPlease refer to the [BUILDING.md](BUILDING.md) file for building on Windows, Linux and macOS.\n\nDithering Examples\n------------------\n\nDitherista supports the following dithering methods:\n\n\u003ctable\u003e\n\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eOriginal\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eGrid dither\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eXot error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186177975-7fff4143-5e60-4270-b1c3-43f517445abd.png\" width=220 height=262\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186177999-d243145a-a5cf-44fa-81b7-95b59ab571cf.png\" width=220 height=262\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178037-48177c6e-96f3-4a4b-a21a-72ed0ad57b7d.png\" width=220 height=262\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eDiagonal error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eFloyd Steinberg error diffusion\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eShiauFan 3 error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178045-5835631a-183b-473d-9925-fc43cb871c34.png\" width=220 height=262\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178049-01f3b989-718a-47d5-bb9e-3b92d6987c58.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178053-72b48a34-24c2-49d1-989b-d13b6ebb310f.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eShiauFan 2 error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eShiauFan 1 error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eStucki error diffusion\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178056-7a36ec8f-a592-4a03-856d-b66c47b7ccd3.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178058-74d0ca18-f5a5-4d1d-afa1-d63711229b74.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178065-4e31cbd2-4ce3-4488-9fbf-977fc98d7ddc.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003e1D error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003e2D error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eFake Floyd Steinberg error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178070-d5c3ee60-ec13-4e69-af89-b880614e51e6.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178075-9550fdab-3246-4a4f-8616-b18845a2a871.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178079-b78ae193-7028-4512-a98e-e413d8b7c86f.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eJarvis-Judice-Ninke error diffusion\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eAtkinson error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBurkes error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178085-f22ed91e-f1d2-45fc-a7b0-b5e6ade6c6e8.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178086-1ed082fa-c55b-42a7-af59-39e4dd8751ad.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178093-9d87abd5-09c0-4c47-b83b-e31bfdea6b0f.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eSierra 3 error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eSierra 2-row error diffusion\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eSierra Lite error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178097-36d03bce-316b-4f06-8a04-408074269075.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178103-e6c0e460-5721-4fc2-93e6-62103ddc8bbf.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178107-c13cf435-2696-42c4-bf36-46dadc188411.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eSteve Pigeon error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRobert Kist error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eStevenson Arce error diffusion\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178108-5f84feb7-5882-4e9d-b7a0-f3bf4f27f989.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178111-af9630a4-6e5d-4b5f-b3a8-f1c6b7caa609.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186178113-24fc54bc-e15a-4e31-b67e-25a94442d279.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eBlue Noise dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 2x2 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 3x3 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179430-db09760f-fa60-4d29-9da8-fb03348d98ae.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179439-0a0dab3e-481d-461d-a6dd-ecd6bf97db68.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179442-60d12f26-b5a5-498b-849c-69b1e46a7f02.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 4x4 ordered dithering\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 8x8 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 16x16 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179444-e8eea4d0-1a5e-4f4e-a610-9211d664c8b3.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179446-e187f261-074e-4ddf-b110-59eeb569ecc8.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179447-5e099888-6bdc-4fec-9382-aeb0f669bd4a.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eBayer 32x32 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDispersed Dots v1 ordered dithering\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDispersed Dots v2 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179455-b78c7c07-74ba-41df-a187-2af3326bfbed.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179461-b9ddd9cb-59c3-4261-856e-477213ef8e51.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179466-fafb2de2-b34d-4847-826b-eb6e22646a08.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eUlichney Void Dispersed Dots ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eNon-Rectangular v1 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eNon-Rectangular v2 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179468-d5d64f66-5c5a-470d-acb3-75c75cf376ef.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179473-86ba710d-a8f4-4e3f-99aa-c690fbf159a4.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179479-74302bab-905b-4cd1-998e-41ad2880ad15.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eNon-Rectangular v3 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eNon-Rectangular v4 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eUlichney Bayer 5x5 ordered dithering\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179482-41937a9a-ad4c-4294-8cc8-368cb27f24c7.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179485-299b9d28-e0b5-4419-9b5c-41f06f56b4a9.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179490-dda11896-d568-4818-a350-c84b81c1484c.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eUlichney ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v1 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v2 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179499-27a14fb4-e4a1-4218-9671-a39ad2e19b57.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179494-894e4b60-fbbf-4f56-8f9c-9f1407f1895d.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179500-a7642aa2-dd03-437b-a4d2-9f7036bdf2b8.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v3 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v4 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v5 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179502-29bb0e04-9b88-40b0-9399-7160d302e373.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179508-3fd0d21d-4393-4526-a23b-0ddcf7b5df7b.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179512-8bbf7d9e-399d-40c8-a512-ef1f773a7ddc.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v6 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v7 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v8 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179513-d6e459e4-7428-4d3c-8c7c-7d43b815efd2.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179515-b3064791-5dc3-43f6-a310-be9c5a986f12.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179521-976a4191-ae6b-4c94-8206-808f697621fe.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v9 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v10 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eClustered Dot v11 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179522-e9ac4c64-1f28-420d-9145-2db7a51dab12.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179529-bf2cc279-9c2a-4ee9-98bb-d09a6d009116.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179531-274a7c3d-f8f4-44c8-bc4f-5817a003e48c.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eCentral White-Point ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eBalanced Central White-Point ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDiagonal ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179533-16a96117-2f4d-4ecf-bcfb-40636702add9.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179536-acb20e48-332a-4c44-9367-7982cdaf6e9b.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179539-8c6017f5-7190-4d25-aadd-5f1e1030b8fa.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eUlichney Clustered Dot ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 5x5 Circle ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 6x6 Circle ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179543-34d938cc-ce8d-459d-b9ce-eaaa2b49010d.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179545-14afa3d7-4800-41f0-a6c9-bbf79565ff61.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179549-5e584c8d-03d5-4951-bd9c-19dfae1e000e.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 7x7 Circle ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 4x4 45-degree ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 6x6 45-degree ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179553-2093acbd-ef57-4f9c-8bbc-d66d99d496d3.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179555-b9324f88-9edd-4942-8c19-c6399a2e6651.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179562-2accb163-a920-49cc-95cc-4d8a8b9bf2dd.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 8x8 45-degree ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 4x4 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 6x6 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179565-028b6bc9-25a3-4e50-83a0-9183945dc5ad.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179567-d699adab-9549-4a36-8679-80889473c5c1.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179573-fed6314b-37ed-4d76-b996-6c4f3b9c4508.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eImageMagick 8x8 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eVariable 2x2 ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eVariable 4x4 ordered dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179576-07bf4815-7039-4256-b2bd-f7bc6dd9a290.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179581-0c01997c-32c1-4c59-a094-fbda2d6db43e.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179587-5add9952-1c5e-4520-924d-5eeb52944c60.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eInterleaved Gradient ordered dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eOstromoukhov variable error diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eZhou Fang variable error diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186179590-0d025e87-efff-4283-8eac-fc89343beac3.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181357-6f6f178c-b99c-478b-8197-baf4ed64d3de.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181368-6a519417-8791-44d1-a226-6d0f2babdc09.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eThresholding\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v1 dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v2 dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181371-ae743639-1380-4aef-aefa-c8b0bde6aafe.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181373-b5185e9e-af7b-4897-a1e6-d81aa27f3508.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181376-76c11ff9-866c-41a1-beb6-9182229550ed.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v3 dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v4 dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v5 dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181384-2dac44b3-ee69-4e2a-a5d9-7d0f6efdc6ac.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181388-8123beed-4113-432c-a2ca-cbe8f4436537.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181393-a1a0ab58-2d8a-40bb-ba5d-126b37a21e02.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v6 dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eDBS v7 dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eKacker and Allebach dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181398-eaa44b15-5b3c-44aa-89ed-eed39d0da427.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181402-6615dcfe-9efe-4bca-8128-0f0df36ac434.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181434-02904ef6-ab45-4fb3-bf74-20e074e7b413.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Hilbert Curve 1) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Hilbert Curve 2) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Peano Curve) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186181440-ef8f2743-b348-45ef-a1fa-aadb6076664b.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294687-e9219209-c17d-4cb9-acd9-07f38578e2ec.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294737-fcd64796-d0b4-46c5-b84d-998a1c37f49d.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Fass0 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Fass1 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Fass2 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294752-e7cde461-a720-4603-a14c-e980342ac388.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294758-2720dc4d-77ee-4370-a380-5ba0f9bcbf3d.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294764-3a0c3e6e-1afd-4933-932c-40f05c9a8221.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Gosper Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eModified Riemersma (Fass Spiral) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Hilbert Curve 1) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294769-0adc1780-08cc-4c3a-b408-1e1453b667cf.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294776-a238a175-17f1-4f32-bfdb-5528ba77b50e.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294784-e9f4225f-3e62-4fb3-918d-d9a0cf1e6292.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Hilbert Curve 2) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Peano Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Fass0 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294789-c08a6db4-c793-4e1c-8c3d-8a0580d4780b.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294792-9664b245-0d7a-483a-8564-4b8beacb1a12.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294798-40460506-5eb9-470b-8644-82ff4d0e4516.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Fass1 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Fass2 Curve) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Gosper Curve) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294801-a84d203d-2dc0-4590-96de-9aec21ebf64c.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294805-f9b38cc7-c88f-4182-8991-b2f018c3513e.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294808-bd80cfa0-2ee9-411d-a0d8-9a01ca8f0f1a.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eRiemersma (Fass Spiral) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (2x2) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (3x3 v1) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294815-5d2e7fd3-be51-449f-ab2b-c20977f5dc73.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294835-251988ab-a3ff-4c32-8f38-9d3013da8e5e.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294841-3507ab90-f192-4b75-b0dd-25b57c19734b.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (3x3 v2) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (3x3 v3) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (4x4) dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294845-08fc6544-2299-4f16-925b-7c338a92539c.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294849-a55d5aa5-7251-41ae-a6c3-9358f5935189.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294854-b25ca41b-6e74-4770-9a58-22a7d670f2a9.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003ePattern (5x2) dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips v1 dot dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips v2 dot dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294857-b00f5d73-ffb2-40ff-b1e3-8daf6bfc1d33.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294860-36297c7c-a186-48f0-ac2f-e5883d67436a.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294864-95ff9e21-c6f5-4241-b1b8-ef7e5a35c460.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips v3 dot dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips (Guo Liu 16x16) dot dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips (Mese and Vaidyanathan 16x16) dot dithering\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294869-82444fbf-a81e-4aba-b3f5-135abffde96f.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294873-b4e12597-328a-404d-8149-6393270c1b7b.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294877-d7123015-a328-448f-a9b3-2018c640e1a1.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eLippens and Philips (Knuth) dot dithering\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eKnuth dot diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eMini-Knuth dot diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294880-7ed55bdc-b53f-4f92-962a-955a021c2f31.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294916-dca6d7d6-a83d-4ce5-b667-870d409e242d.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294928-0edb9314-d3ad-4a6c-a1e4-60944238f765.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eOptimized Knuth dot diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eMese and Vaidyanathan 8x8 diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eMese and Vaidyanathan 16x16 dot diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294936-19b563d1-c299-464a-9bfc-ff31ee621752.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294941-d7d3425f-52aa-4eb7-a9d5-92addefc6117.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294946-905eee7f-398d-4b8a-a19e-e9fd15c13ef0.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eGuo Liu 8x8 dot diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eGuo Liu 16x16 dot diffusion\u003c/b\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cb\u003eSpiral dot diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294949-e955217f-95ce-4bda-91e8-66a40b57abf1.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294954-c692399a-2400-4978-863a-c229f34d7a0a.png\"\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294956-6550812e-693c-47dc-aec8-63bf69d0f486.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cb\u003eInverted Spiral dot diffusion\u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/9162068/186294959-de3432b6-0961-4372-9afd-75d6b5f19f3d.png\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/table\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobertkist%2Fditherista","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobertkist%2Fditherista","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobertkist%2Fditherista/lists"}