{"id":19312040,"url":"https://github.com/weblineindia/aiml-image-enhancement","last_synced_at":"2026-03-09T19:39:28.661Z","repository":{"id":129984300,"uuid":"273228446","full_name":"weblineindia/AIML-Image-Enhancement","owner":"weblineindia","description":"AI ML based Image enhancement module built in Python. It is used for improving the quality of images using different filters in openCV. 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Image enhancement using openCV\n\nAn image enhancement module used for improving the quality of images using different filters in openCV. \nIt works better with gray-scale images. \n\nThe filters used are median_filter for removing noise from the image, The histogram equalizer is used for contrast adjustment of the image and Gamma correction is also applied for preventing the image from darkening.\n\n## Table of contents\n\n- [Getting started](#getting-started)\n- [Features](#features)\n- [Usage](#usage)\n- [Results](#results)\n- [Want to Contribute?](#want-to-contribute)\n- [Need Help / Support?](#need-help)\n- [Collection of Other Components](#collection-of-components)\n- [Changelog](#changelog)\n- [Credits](#credits)\n- [License](#license)\n- [Keywords](#Keywords)\n\n## Getting started\n\nPrerequisites for running the code are:\n\nPython =3.5\u003cbr/\u003e\npython-opencv =4.2.0\u003cbr/\u003e\nscipy =1.3.1\u003cbr/\u003e\n\nor\n\n```\npip install opencv-python\n```\n```\npip install scipy\n```\n\n## Features\n\n- Denoise a grayscale image with median_filter\n- Clahe is used for Histogram equalization of the image\n- Enhances Sharpness and Contrast of images\n- Gamma Correction for preventing darkening of images.\n\n## Usage\n\nInside the project's directory run:\n\n```\npython image_enhancement.py\n```\nYou can find sample images in the Dataset folder and results can be generated in Results folder.\n\nThese code works better for gray scale images.\n\n### Results\n### Original Image\n\u003cimg src=\"images/image1.jpg\" width = \"300\" height = \"225\"/\u003e \u003cimg src=\"images/image2.jpg\" width = \"300\" height = \"225\"/\u003e\n\n### Processed Image\n\u003cimg src=\"images/result1.jpg\" width = \"300\" height = \"225\"/\u003e \u003cimg src=\"images/result2.jpg\" width = \"300\" height = \"225\"/\u003e\n\n## Want to Contribute?\n\n- Created something awesome, made this code better, added some functionality, or whatever (this is the hardest part).\n- [Fork it](http://help.github.com/forking/).\n- Create new branch to contribute your changes.\n- Commit all your changes to your branch.\n- Submit a [pull request](http://help.github.com/pull-requests/).\n\n-----\n\n## Need Help? \n\nWe also provide a free, basic support for all users who want to use image processing techniques for their projects. In case you want to customize this image enhancement technique for your development needs, then feel free to contact our [AI/ML developers](https://www.weblineindia.com/ai-ml-dl-development.html).\n\n-----\n\n## Collection of Components\n\nWe have built many other components and free resources for software development in various programming languages. Kindly click here to view our [Free Resources for Software Development](https://www.weblineindia.com/communities.html).\n\n------\n\n## Changelog\n\nDetailed changes for each release are documented in [CHANGELOG.md](./CHANGELOG.md).\n\n## Credits\n\nRefered OpenCV image processing and filtering techniques.  [opencv](https://docs.opencv.org/3.4/index.html).\n\n## License\n\n[MIT](LICENSE)\n\n[mit]: https://github.com/miguelmota/is-valid-domain/blob/e48e90f3ecd55431bbdba950eea013c2072d2fac/LICENSE\n\n## Keywords\n\n image-processing, image-filters, image-enhancement-opencv,opencv-image-processing,image-denoising,histogram-equalizer\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweblineindia%2Faiml-image-enhancement","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fweblineindia%2Faiml-image-enhancement","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweblineindia%2Faiml-image-enhancement/lists"}