specification
libjxl
specification | libjxl | |
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12 | 84 | |
233 | 2,209 | |
0.9% | 28.2% | |
4.6 | 9.8 | |
20 days ago | 7 days ago | |
TeX | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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specification
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The Quite OK Audio Format for Fast, Lossy Compression
TinyVG follows the similar goals: an alternative to SVG with a specification which trades off features for simplicity. https://tinyvg.tech/
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SVG Images from Postgres
I wholehearedly agree with your point on information blackholes but I think the reason some people hate SVG is that they've had had to advanced things with or had to work with the spec and implement something around it. I haven't done so myself but I can tell pain when I read it.
Here is a mostly compatible alternative: https://tinyvg.tech/
- TinyVG – an alternative binary encoded vector graphics format
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I’m a professional hacker
I created a library to parse TinyVG files
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(Highly) simplified SVG subset
After taking an interest in TinyVG I got to wondering if there is a similar idea just applied to conforming SVG files. Basically a format that includes nothing but basic paths, colors, gradients and a few shapes to make the implementation relatively easy to create.
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A challenger to the throne of vector graphics. SVG is dead, long live TinyVG!
If so, can you please make an issue in the specification repo: https://github.com/TinyVG/specification/
libjxl
- JPEG XL Reference Implementation
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JPEG XL and the Pareto Front
https://github.com/libjxl/libjxl/blob/main/doc/format_overvi... is a pretty detailed but good overview. The highlights are variable size DCT (up to 128x128), ANS entropy prediction, and chroma from luminance prediction. https://github.com/libjxl/libjxl/blob/main/doc/encode_effort... also gives a good breakdown of features by effort level.
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Compressing Text into Images
For JPEG XL, refer to its format overview [1]. In short its lossless mode uses a combination of multiple techniques: the rANS coding with an alias table, LZ77, reversible color transforms, a general vector quantization that subsumes palettes, a modified Haar transform and a learnable meta-adaptive decision tree for context modelling.
One good thing about JPEG XL is that its lossy mode also largely uses the same tool, with a major addition of specialized quantization and context modelling for low- and high-frequenty components.
[1] https://github.com/libjxl/libjxl/blob/main/doc/format_overvi...
- JPEG XL v0.9.0 Released
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Stripping Metadata
The cjxl source is here. If you spot any reason why -x strip=exif may not work, tell me.
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Www Which WASM Works
The problem is that the instructions for actually running the WASM file are not that clear... the docs the author mentions shows how to compile to WASM, which is easy enough, but then here's the instructions to make that actually work in the browser:
https://github.com/libjxl/libjxl/blob/main/tools/wasm_demo/R...
Yeah, you need some mysterious Python script, a JS service worker at runtime, choose whether you want the WASM or WASM_SIMD target, use a browser that supports Threads and SIMD if you chose that, make sure to serve everything with the appropriate custom HTTP headers... just reading that, I can see that to get this stuff working on non-browser WASM targets would likely require expertise in WASM, which is the point of the OP. WASM's UX is just not there yet.
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First automatic JPEG-XL cloud service
https://github.com/libjxl/libjxl#usage
> Specifically for JPEG files, the default cjxl behavior is to apply lossless recompression and the default djxl behavior is to reconstruct the original JPEG file (when the extension of the output file is .jpg).
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Why "sudo make install"?
I mean compiling a bleeding edge kicad, inkscape or jpeg-xl is easy. But will probably trash your system if you already have an older version installed.
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XYB JPEG: Perceptual Color Encoding Tested
But you look at your image viewer that could have the lossless indicator? (and there is an issue open to add this indicator to the jxl files)
https://github.com/libjxl/libjxl/issues/432
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Heyo Everyone! - is there a win or mac software to batch convert imgs to avif?
You might want to use libjxl directly, e.g. for visually lossless images: cjxl --effort 9 --brotli_effort 11 --distance 1.0 --num_threads (nproc) --lossless_jpeg 0 input.png output.jxl on linux (if you're on windows/mac, just replace the (nproc) with the number of cpu threads you have, e.g. --num_threads 16).
What are some alternatives?
iconvg - IconVG is a compact, binary format for simple vector graphics: icons, logos, glyphs and emoji.
qoi - The “Quite OK Image Format” for fast, lossless image compression
spec - WebAssembly specification, reference interpreter, and test suite.
Android-Image-Filter - some android image filters
sdk - TinyVG software development kit
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
OpenSSL - TLS/SSL and crypto library
libavif - libavif - Library for encoding and decoding .avif files
Overte - Overte is an open-source 3D client and server solution that allows for vast social & educational environments to be created and lived in while also being shared in real-time with others.
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
svgcleaner - svgcleaner could help you to clean up your SVG files from the unnecessary data.
squoosh - Make images smaller using best-in-class codecs, right in the browser.