paper-with-me

홈 › Papers

Guetzli: Perceptually Guided JPEG Encoder

2017-03-13 · Jyrki Alakuijala, Robert Obryk, Ostap Stoliarchuk, Zoltan Szabadka, Lode Vandevenne, Jan Wassenberg

Guetzli is a new JPEG encoder that aims to produce visually indistinguishable images at a lower bit-rate than other common JPEG encoders. It optimizes both the JPEG global quantization tables and the DCT coefficient values in each JPEG block using a closed-loop optimizer. Guetzli uses Butteraugli, our perceptual distance metric, as the source of feedback in its optimization process. We reach a 29-45% reduction in data size for a given perceptual distance, according to Butteraugli, in comparison to other compressors we tried. Guetzli's computation is currently extremely slow, which limits its applicability to compressing static content and serving as a proof- of-concept that we can achieve significant reductions in size by combining advanced psychovisual models with lossy compression techniques.

📄 PDF Abstract BibTeX arXiv:1703.04421

Code (1)

VenciFreeman/Compress

Tasks

Perceptual DistanceQuantization

Similar Papers 제목 키워드 기반

Users prefer Guetzli JPEG over same-sized libjpeg

2017-03-13 · Jyrki Alakuijala, Robert Obryk, Zoltan Szabadka, Jan Wassenberg

We report on pairwise comparisons by human raters of JPEG images from libjpeg and our new Guetzli encoder. Although both files are size-matched, 75% of ratings are in favor of Guetzli. This implies the Butteraugli psycho…

Compression of user generated content using denoised references

2022-03-07 · Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega 외

Video shared over the internet is commonly referred to as user generated content (UGC). UGC video may have low quality due to various factors including previous compression. UGC video is uploaded by users, and then it is…

Denoising

Human Perceptual Evaluations for Image Compression

2019-08-09 · Yash Patel, Srikar Appalaraju, R. Manmatha

Recently, there has been much interest in deep learning techniques to do image compression and there have been claims that several of these produce better results than engineered compression schemes (such as JPEG, JPEG20…

Deep LearningImage CompressionMS-SSIMSSIM

Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG

2024-03-27 · Martin Bruse, Luca Versari, Zoltan Szabadka, Jyrki Alakuijala

We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-turbo quality 95, the Jpegli images were 54…

Reducing Storage in Large-Scale Photo Sharing Services using Recompression

2019-12-23

The popularity of photo sharing services has increased dramatically in recent years. Increases in users, quantity of photos, and quality/resolution of photos combined with the user expectation that photos are reliably st…

Management