High-performance image diffing with block-based optimization and SIMD
Project description
blazediff
High-performance image diffing with block-based optimization and SIMD acceleration.
Features
- Block-based optimization - Skip identical regions for massive speedups on similar images
- SIMD acceleration - Native SSE4.1 (x86) and NEON (ARM) implementations
- Multiple formats - PNG, JPEG, and QOI support
- Perceptual diffing - YIQ-based color difference with antialiasing detection
- Cross-platform - Linux, macOS, and Windows support
Installation
cargo install blazediff
CLI Usage
# Basic diff
blazediff image1.png image2.png -o diff.png
# With custom threshold (0.0 - 1.0)
blazediff image1.png image2.png -o diff.png -t 0.1
# JSON output for scripting
blazediff image1.png image2.png --json
Library Usage
use blazediff::{diff, DiffOptions};
let options = DiffOptions {
threshold: 0.1,
include_anti_aliased: false,
..Default::default()
};
let result = diff("image1.png", "image2.png", Some("diff.png"), &options)?;
println!("Different pixels: {}", result.diff_count);
Interpret
Structured region analysis that takes a raw pixel diff and produces human-readable change descriptions. Available via --interpret in the CLI or interpret() in the library.
See INTERPRET.md for the full algorithm documentation — pipeline stages, formulas, classification rules, and output format.
Performance
3-4x faster than odiff, 8x faster than pixelmatch on 4K images.
License
MIT
Project details
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