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https://github.com/anshap1719/image-hdr

An implementation of HDR Radiance Estimation using Poisson Photon Noise Estimator for creating HDR image from a set of images
https://github.com/anshap1719/image-hdr

hdr hdr-image histogram image image-processing

Last synced: 2 months ago
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An implementation of HDR Radiance Estimation using Poisson Photon Noise Estimator for creating HDR image from a set of images

Host: GitHub
URL: https://github.com/anshap1719/image-hdr
Owner: anshap1719
License: mit
Created: 2022-11-23T00:45:07.000Z (about 2 years ago)
Default Branch: main
Last Pushed: 2024-03-24T13:22:07.000Z (10 months ago)
Last Synced: 2024-04-25T18:02:35.554Z (9 months ago)
Topics: hdr, hdr-image, histogram, image, image-processing
Language: Rust
Homepage:
Size: 29.3 KB
Stars: 17
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # image-hdr ![](https://github.com/anshap1719/image-hdr/actions/workflows/rust.yml/badge.svg)

This is a rust library which implements the HDR merging algorithm for camera images taken with different exposure

times (or with bracketing). It uses the algorithms described

in https://www.cl.cam.ac.uk/research/rainbow/projects/noise-aware-merging/2020-ppne-mle.pdf, and uses "Poisson Photon

Noise Estimator" equations to estimate final radiances at each pixel position.

## Current State

The library is still in early stages of development, but aims to provide a crate that can handle all HDR merging needs.

Towards that end, the following todos are the top priority:

- Tone mapping algorithm implementations.

- Improve performance.

## Dependencies

- image-rs: Uses DynamicImage as the output format and storage format between calculations.

- rawloader: For supporting RAW image formats.

- rayon: For doing point calculations in parallel.

- kamadak-exif: For getting image's metadata, specifically exposure time and gain (ISO).

## Usage

```

let paths = vec!["src/image1.tif", "src/image2.tif", "src/image3.tif"];

let hdr_merge = image_hdr::hdr_merge_images(paths);

let stretched = apply_histogram_stretch(&fusion);

stretched

    .to_rgba16()

    .save(format!("src/hdr_merged.tiff"))

    .unwrap();

```

## Samples

### Given the following 3 exposures:

![alt "1/640s"](https://image-hdr-assets.s3.ap-south-1.amazonaws.com/DSC00001+Large.jpeg)

![alt "1/4000s"](https://image-hdr-assets.s3.ap-south-1.amazonaws.com/DSC00002+Large.jpeg)

![alt "1/80s"](https://image-hdr-assets.s3.ap-south-1.amazonaws.com/DSC00003+Large.jpeg)

### Resulting unprocessed image:

![alt "Merged image"](https://image-hdr-assets.s3.ap-south-1.amazonaws.com/hdr_merged+Large.jpeg)

### After basic processing (Levels and Contrast):

![alt "Processed image"](https://image-hdr-assets.s3.ap-south-1.amazonaws.com/Processed+Large.jpeg)

## Contributing

Bug reports and pull requests welcome at https://github.com/anshap1719/image-hdr

## Citations

- Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration by Param Hanji, Fangcheng Zhong, and

  Rafa l K. Mantiuk (https://www.cl.cam.ac.uk/~rkm38/pdfs/hanji2020_noise_aware_HDR_merging.pdf)