nekhtiari/image-similarity-measures
:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
This tool helps you objectively compare two images to understand how similar they are. You provide two image files, and it calculates several well-known similarity scores. Anyone working with image processing, quality assessment, or computer vision will find this useful for evaluating image transformations or reconstructions.
641 stars. No commits in the last 6 months.
Use this if you need to quantify the differences between an original image and a modified or predicted version of that image, such as in remote sensing, medical imaging, or image compression.
Not ideal if you need to compare images with drastically different content or perform content-based image retrieval rather than pixel-level similarity assessment.
Stars
641
Forks
72
Language
Python
License
MIT
Category
Last pushed
Aug 31, 2024
Commits (30d)
0
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