image-compare
Simple image comparison in rust based on the image crate
Note that this crate is heavily work in progress. Algorithms are neither cross-checked not particularly fast yet. Everything is implemented in plain CPU with rayon multithreading. SIMD is under investigation on a feature branch (simd-experimental).
Supported now:
- Comparing grayscale and rgb images by structure
- By RMS - score is calculated by:
- By MSSIM
- SSIM is implemented as described on wikipedia:
- MSSIM is calculated by using 8x8 pixel windows for SSIM and averaging over the results
- RGB type images are split to R,G and B channels and processed separately.
- The worst of the color results is propagated as score but a float-typed RGB image provides access to all values.
- As you can see in the gherkin tests this result is not worth it currently, as it takes a lot more time
- It could be improved, by not just propagating the individual color-score results but using the worst for each pixel
- This approach is implemented in hybrid-mode, see below
- "hybrid comparison"
- Splitting the image to YUV colorspace according to T.871
- Processing the Y channel with MSSIM
- Comparing U and V channels via RMS
- Recombining the differences to a nice visualization image
- Score is calculated as:
- This allows for a good separation of color differences and structure differences
- Comparing grayscale images by histogram
- Several distance metrics implemented see OpenCV docs:
- Correlation
- Chi-Square
- Intersection
- Hellinger distance
- Several distance metrics implemented see OpenCV docs: