SQZ – Low complexity, scalable lossy to lossless image compression
I'd like to share a little toy project of mine, a really simple image codec that can do lossy to full lossless image compression with complete scalability at a byte level granularity - you can compress an image just once, even fully losslessly if needed, and then get any lossy version possible by simply stopping decompression at any offset in the compressed data. This "encode onde, serve many" approach is especially interesting for providing downscaled low quality image previews (LQIP) in as tight a storage budget as possible, and then allowing seamless, transparent refinement as deemed…
SQZ – Low complexity, scalable lossy to lossless image compression launched on January 10, 2024 with 7 votes, #1,798 of 4,437 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
SQZ - Low complexity, scalable lossless and lossy image compression library - MarcioPais/SQZ
In the maker’s words, at launch
I'd like to share a little toy project of mine, a really simple image codec that can do lossy to full lossless image compression with complete scalability at a byte level granularity - you can compress an image just once, even fully losslessly if needed, and then get any lossy version possible by simply stopping…
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misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)Jul 2026 · github.com · ▲164I've spent the last few months working on this codec. It has the following characteristics: - SOTA decompression throughput in its ratio class - Decent ratios (comparable to LZ4 at high effort levels) - Slow compression Most of the gains can be attributed to reducing branches and making decompression very friendly to out-of-order cores, by using a smart format. Results on the tarred Silesia corpus on Intel x86-64 follow: codec decode ratio encode misa77 -0 5219 MB/s 42.64% 54.5 MB/s misa77 -1 4274 MB/s 39.65% 51.2 MB/s lz4 2505 MB/s 47.59% 371 MB/s lz4hc -12…
ZXC – Asymmetric, +40% decode vs. LZ4 on ARM (C, BSD-3, Fuzzed)Dec 2025 · github.com · ▲28Hello HN, author here. I built ZXC, a lossless compression library designed specifically for "Write Once, Read Many" scenarios (Game assets, Firmware, App bundles). The Concept: Standard real-time codecs (LZ4, Snappy) are designed for symmetry. ZXC explores an asymmetric approach: it spends significantly more CPU cycles at compression time to generate a bitstream specifically structured for modern, wide-issue execution pipelines (maximizing Instruction Level Parallelism). Performance (Verified via lzbench integration): ZXC was merged into the official lzbench repository monday. ARM64 (Apple…
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