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Libjpeg-turbo Alternatives
Similar projects and alternatives to libjpeg-turbo
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Bullet
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
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orion
Discontinued Usable, easy and safe pure-Rust crypto [Moved to: https://github.com/orion-rs/orion] (by brycx)
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libwebp
Mirror only. Please do not send pull requests. See https://chromium.googlesource.com/webm/libwebp/+/HEAD/CONTRIBUTING.md.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better libjpeg-turbo alternative or higher similarity.
libjpeg-turbo reviews and mentions
Posts with mentions or reviews of libjpeg-turbo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-03.
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Jpegli: A New JPEG Coding Library
> all decoders will render the same pixels
Not true. Even just within libjpeg, there are three different IDCT implementations (jidctflt.c, jidctfst.c, jidctint.c) and they produce different pixels (it's a classic speed vs quality trade-off). It's spec-compliant to choose any of those.
A few years ago, in libjpeg-turbo, they changed the smoothing kernel used for decoding (incomplete) progressive JPEGs, from a 3x3 window to 5x5. This meant the decoder produced different pixels, but again, that's still valid:
https://github.com/libjpeg-turbo/libjpeg-turbo/commit/6d91e9...
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My personal C coding style as of late 2023
Last vestiges of this fact AFAIK were libjpeg, which had a macro NEED_SHORT_EXTERNAL_NAMES that shortens all public identifiers to have unique 6-letter-long prefixes. Libjpeg-turbo nowadays has removed them though [1].
[1] https://github.com/libjpeg-turbo/libjpeg-turbo/commit/52ded8...
- Libjpeg-Turbo 3.0.0
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Why there may never be a libjpeg-turbo 3.1
While I think the move to safer code through Rust and other alternatives is a nice breath of fresh air, I doubt you can get these kinds of optimization without using unsafe code in Rust. These optimized implementations often require some kind of safety-bypassing memory modifications to work as efficiently ad they do.
There's a reason https://github.com/libjpeg-turbo/libjpeg-turbo/tree/main/sim... is filled with assembly files with conditional loading.
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Learn x86-64 assembly by writing a GUI from scratch
Sure. You'll see it very often in codec implementations. From rav1e, a fast AV1 encoder mostly written in Rust: https://github.com/xiph/rav1e/tree/master/src/x86
Large portions of the algorithm have been translated into assembly for ARM and x86. Shaving even a couple percent off something like motion compensation search will add up to meaningful gains.
Or the current reference implementation of JPEG: https://github.com/libjpeg-turbo/libjpeg-turbo/tree/main/sim...
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Announcing zune-jpeg: Rust's fastest JPEG decoder
zune-jpeg is 1.5x to 2x faster than jpeg-decoder and is on par with libjpeg-turbo.
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JDK 21 - Image Performance Improvements
This is interesting from the standpoint of how new JVM features can be used to improve performance (what I presume the article's main purpose to have been), but the image processing improvement itself isn't head-turning. Also, we've found that libjpeg-turbo (https://libjpeg-turbo.org/) is ~5x (IIRC, can re-run my JMH benchmark if anyone wants me to) as fast for decoding JPEGs as ImageIO, so we wouldn't even benefit from this change in 21 much.
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Convenient CPU feature detection and dispatch in the Magnum Engine
libjpeg-turbo: https://github.com/libjpeg-turbo/libjpeg-turbo/blob/main/simd/x86_64/jsimdcpu.asm
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Implementing SVE2 for Open Source Project
libjpeg-turbo
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How to go about implementing file encoding [Question]
For all but the simplest formats (basically BMP), the difficulty of implementing encoding/decoding from scratch is significant - well beyond a beginner's ability, and challenging/time-consuming even for senior developers. So, libraries are used in practice - e.g. libpng and libjpeg-turbo.
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Stats
Basic libjpeg-turbo repo stats
15
3,582
8.4
13 days ago
libjpeg-turbo/libjpeg-turbo is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of libjpeg-turbo is C.
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