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The structural similarity (SSIM) index is a method for measuring the similarity between two images. The SSIM index is a full reference metric; in other words, the measuring of image quality based on an initial uncompressed or distortion-free image as reference. SSIM is designed to improve on traditional methods like peak signal-to-noise ratio (PSNR) and mean squared error (MSE), which have proven to be inconsistent with human eye perception.
Image structural similarity (SSIM). In TypeScript/JavaScript. For browser/server.
JavaScript implementation of the SSIM algorithm
Fast single-threaded SSIM (Structural Similarity Index) metric for CI visual testing
Image multi-scale structural similarity (MS-SSIM). In TypeScript/JavaScript. For browser/server.
An image diffing library using FFmpeg. Creates an image showing perceptual differences and returns SSIM data.
CLI Tool for comparing images using the SSIM algorithm.
SSIM to GTFS conversion tool
Get the structural similarity between two images.
jpeg-recompress imagemin plugin
cwebp wrapper that makes it seamlessly available as a local dependency
Checks if file is a SSIM file.
Node module to find PSNR and SSIM of videos and images
Parses Standard Schedules Information Manual (SSIM) file to JSON.
Get the speed index from chrome dev tool timeline files. The CLI
Core matcher logic for visual regression testing with blazediff
Jest matcher for visual regression testing with blazediff
Bun test matcher for visual regression testing with blazediff
Vitest matcher for visual regression testing with blazediff
High-performance image diffing for Node.js - Native bindings to Honeydiff Rust library