j40
libjxl
j40 | libjxl | |
---|---|---|
9 | 85 | |
216 | 2,274 | |
- | 30.3% | |
0.0 | 9.8 | |
over 1 year ago | about 20 hours ago | |
C | C++ | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
j40
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Going Faster by Duplicating Code
You can also force it by using extensions like `[[gnu::always_inline]]` or `__forceinline`. I've actually used this technique to generate an auto-vectorizable function whenever it's possible [1].
[1] https://github.com/lifthrasiir/j40/blob/252e7987d36d50f617f2...
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Google Chrome Is Already Preparing To Deprecate JPEG-XL
There's already an independent implementation, though it doesn't cover animations, progressive, or some other features yet.
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JPEG XL: libjxl 0.7.0 released
If you are interested in making a J40 binding in Rust, please also take a look at the future Rust version itself. I've made an initial issue [1] about this effort.
[1] https://github.com/lifthrasiir/j40/issues/10
- J40: Independent, self-contained JPEG XL decoder
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Hacker News top posts: Sep 18, 2022
J40: Independent, self-contained JPEG XL decoder\ (27 comments)
- J40: independent, self-contained JPEG XL decoder in C99
libjxl
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JPEG XL and Google's War Against It
> Regarding JPEG XL's mobile support, it makes sense it would see limited development if the company that manages one of the biggest mobile players has been the greatest restriction on their success. The lack of support also disincentivises manufacturers to prioritise support.
There was literally no involvement from any hardware vendor in the standardization of JPEG XL. It went from a Call for Proposals in Sept 2018 to Committee Draft in Aug 2019 with very little time for industry feedback. Contrast this with AV1 which had involvement from hardware vendors Intel, NVIDIA, Arm, AMD, Broadcom, Amlogic from the beginning as well as companies who ship media on hardware at scale such as Cisco, Netflix, Samsung and yes Google. These companies reviewed and provided significant feedback on the format that made it suitable for hardware implementation.
https://news.ycombinator.com/threads?id=JyrkiAlakuijala is a lead on the project and a Google employee, and active in JPEG XL development https://github.com/libjxl/libjxl/commits?author=jyrkialakuij...
- 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
What are some alternatives?
rdopng - Rate-Distortion Optimized Lossy PNG/QOI Encoding Tool
qoi - The “Quite OK Image Format” for fast, lossless image compression
virtual-fido - A Virtual FIDO2 USB Device
Android-Image-Filter - some android image filters
astc-encoder - The Arm ASTC Encoder, a compressor for the Adaptive Scalable Texture Compression data format.
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
base16384 - Encode binary files to printable utf16be.
libavif - libavif - Library for encoding and decoding .avif files
opusfile - Stand-alone decoder library for .opus streams
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
squoosh - Make images smaller using best-in-class codecs, right in the browser.