68 skills found · Page 3 of 3
z64me / Z64encnew compression codecs for OoT and MM
Qi-Yangsjtu / LGSCVOfficial code of "Lightweight 3D Gaussian Splatting Compression via Video Codec"
JuliaIO / CodecLz4.jlTranscoding codecs for compression and decompression with LZ4
fpetkovski / Tscodec GoHigh-performance timeseries compression codecs for Go
nextgis-borsch / Lib JpegturboJPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems
cambridge-mlg / RECOMBINERPytorch Implementation of INR-based codec RECOMBINER (Robust and Enhanced Compression with Bayesian Implicit Neural Representations)
Kavyapriyakp / Video Quality MetricsVideo quality metrics are algorithms designed to predict how actual viewers would gauge video quality. These metrics are used for a range of activities, from comparing codecs and different encoding configurations, to assisting in production and live quality of experience (QoE) monitoring. Image quality can degrade due to distortions during image acquisition and processing. Examples of distortion include noise, blurring, ringing, and compression artifacts. Efforts have been made to create objective measures of quality. For many applications, a valuable quality metric correlates well with the subjective perception of quality by a human observer. Quality metrics can also track unperceived errors as they propagate through an image processing pipeline, and can be used to compare image processing algorithms. If an image without distortion is available, you can use it as a reference to measure the quality of other images. For example, when evaluating the quality of compressed images, an uncompressed version of the image provides a useful reference. In these cases, you can use full-reference quality metrics to directly compare the target image and the reference image. If a reference image without distortion is not available. you can use a no-reference image quality metric instead. These metrics compute quality scores based on expected image statistics.
lin-toto / LicorisLICoris: Streaming-capable High-performance Architecture of Learned Image Compression Codecs
pkorus / L3ic[ICLR'20] Lightweight & high-performance learned image compression codec (Tensorflow).
Syed-Shah-Asad / Scalable Video Codec For Diverse Networking ConditionsVideo streaming is gaining more and more popularity due to video based applications, and due to heterogeneous networking environment,a codec is needed that can facilitate every user according to his requirement which should be user friendly also. So by using H.264 video compression standard, we have developed a scalable video codec for such networking conditions. Purpose of choosing H.264 for compression is its ability to compress the video at a rate twice than previous standards while maintaining the quality of video. The main idea is to achieve compression, maintaining the quality and integrity of video. Scalability is achieved in such a way that video is encoded just once decoded but it can be decoded multiple times according to the requirement of user. All the three modes of scalable codec are covered and implemented; temporal, spatial and quality scalability with better results. In temporal scalability, scalability is achieved by varying the frame rate, in spatial; by varying the resolution and in quality by varying the bit rate of the input video. All the three modes split the video into different layers and then scalable codec is applied over them. Scalable codec is tested over different videos and better results are obtained in terms of scalability and compression.
rashchupkinr / H263H.263 video compression codec
aaasen / RccA lossy image compression codec using RTrees
kafkajs / ZstdZStandard compression codec for KafkaJS
adnortje / DeepimageImplementation of existing progressive deep image compression codecs/
aeric1102 / Residual Encoding For Domain Specific VideoA Video Codec using CNN with H.264 to Achieve High Compression Ratio
caolinfeng / OoDHDR CodecThe code for OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression (AAAI2022)
ratnajitmukherjee / UCSHDRVideoCompUniform Color Space based HDR video compression: This repository contains the code for a novel HDR video compression algorithm which has been proposed to compress HDR video frames to codec suitable YUV files which can be compressed using 10-bit video codecs (x264/x265/AV1)
dchiasson / Kinetic CodecA codec for compression and streaming of kinematic data
JHayPro / ALR Fallout4Source Code For Automated Loadscreen Replacer (ALR) For Fallout 4. Utilized Filesystem library to dynamically locate, create, and delete directories and images in root directory. Implemented image manipulation, codec conversion, compression, and decompression through DirectX Tex.
cresteem / RemigeRemige is an advanced image compression framework, built as a fork of libSquoosh. By integrating Squoosh's powerful image codecs directly into JavaScript applications, Remige offers unparalleled compression performance and file size reduction. Designed for compatibility with the latest Node.js versions, Remige enhances image processing with modern
