289 papers with code • 11 benchmarks • 12 datasets Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements. Source: Variable Rate Deep Image Compression With a Conditional Autoencoder ...
In learning-based image compression approaches, compression models are based on variational autoencoder(VAE) framework and optimized by a rate-distortion objective function, which achieve better performance than hybrid codecs. However, VAE maps the input to a lower dimensional latent space which ...
In the present scenario when data has become digital and its transmission, reception and storage has become online, faster sending and receiving textual data or images has become top priority for every information system and thus image compression becomes a basic necessity as small size images ...
Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework. - GitHub - WenxueCui/Deep-Image-Compression-Video-Coding: Recent papers and codes related to deep learning/deep neural network based
The Arm ASTC Encoder, a compressor for the Adaptive Scalable Texture Compression data format. compressionimage-compressionastcastcenc UpdatedFeb 14, 2025 C Star1.1k A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision ...
Call For PapersCLIC: Workshop and Challenge on Learned Image Compression 2021 in conjunction with CVPR 2021 Website: http://www.compression.cc/ Introduction Our workshop aims to gather publications which will advance the field of image and video compression using machine learning and computer ...
6. Experiment with quality settings. In most cases, JPEG will be the file type of choice for your images. It offers a high quality image at reasonable file sizes. One of the great benefits about the jpeg file type is the ability to choose the level of compression that you would like. ...
Entropy definition is to identify often occurring symbols in the data stream with short code words in the compressed bit stream. Entropy coding used with some lossy compression algorithms i.e. JPEG. It reduces number of bits produced from quantizer’s output for more compression. As previously me...
Image Compression for Machines (ICM) aims to compress images for machine vision tasks rather than human viewing. Current works predominantly concentrate on high-level tasks like object detection and semantic segmentation. However, the quality of original images is usually not guaranteed in the real wo...
It formulates the rate-distortion optimization in lossy image compression when using INN with quantization, which differentiates from using INN for generative modelling. Generally speaking, A-INN can be used as the theoretical foundation for any INN based lossy compression method. Based on this ...