libjxl
7-Zip-zstd
libjxl | 7-Zip-zstd | |
---|---|---|
85 | 40 | |
2,328 | 4,819 | |
5.1% | - | |
9.8 | 5.0 | |
3 days ago | about 2 months ago | |
C++ | C | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
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
7-Zip-zstd
- WinRAR musste shady werden.
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Zip: How not to design a file format
Do you consider rar a standard? It's a pretty good format, even though there aren't any good open-source implementations. But if you're willing to pay for your software, WinRAR command line versions are available for most platforms.
7zip is the most obvious free alternative. There is also a 7zip fork that offers zstd [1]. The command line experience for 7zip isn't very good however.
1: https://github.com/mcmilk/7-Zip-zstd
- my rarbg magnet backup (268k)
- How can I fix this
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28 years later, Windows finally supports RAR files
Check out https://github.com/mcmilk/7-Zip-zstd
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Zip/7Zip-archives instead of Cryptomator and what Apps
There's also this fork which supports additional compressions: https://github.com/mcmilk/7-Zip-zstd
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Best way to compress Data
7-zip is actually not a bad option, but I'd strongly advise using the fast-lzma2 codec, because, well, it is waay faster, and might even give you better ratios, depending on how you use it. You can find an implementation here, and it is compatible with traditional 7-zip (you can decompress it on any computer with any newish version of 7z)
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Recommendation of Windows software [A long read]
Hi, PeaZip can use McMilk's additional compression codecs for 7z format (Zstandard, Brotli, Lizard, etc), https://github.com/mcmilk/7-Zip-zstd
- Tried using forked 7-zip sfx
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Separate dump files for the top 20k subreddits
You can extract the files yourself with 7Zip. You can install 7Zip from here and then install this plugin to extract ZStandard files, or you can directly install the modified 7Zip with the plugin already from that plugin page. Then simply open the zst file you downloaded with 7Zip and extract it.
What are some alternatives?
qoi - The “Quite OK Image Format” for fast, lossless image compression
zstd - Zstandard - Fast real-time compression algorithm
Android-Image-Filter - some android image filters
p7zip - A new p7zip fork with additional codecs and improvements (forked from https://sourceforge.net/projects/sevenzip/ AND https://sourceforge.net/projects/p7zip/).
DirectXMath - DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
7z - Because 7-zip source code was in a 7z archive [mirror]
libavif - libavif - Library for encoding and decoding .avif files
LZ4 - Extremely Fast Compression algorithm
jxl-migrate - A simple Python script to migrate images to the JPEG XL (JXL) format
squashfs-tools-ng - A new set of tools and libraries for working with SquashFS images
squoosh - Make images smaller using best-in-class codecs, right in the browser.
zfs - OpenZFS on Linux and FreeBSD