
Analysis and Improvement of JPEG Compression Performance using Custom Quantization and Block Boundary Classifications
Author(s) -
Póth Miklós,
Željen Trpovski,
Tatjana Lončar-Turukalo
Publication year - 2020
Publication title -
acta polytechnica hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 34
eISSN - 2064-2687
pISSN - 1785-8860
DOI - 10.12700/aph.17.6.2020.6.10
Subject(s) - jpeg , quantization (signal processing) , image compression , compression artifact , artificial intelligence , computer vision , computer science , data compression , data compression ratio , image quality , compression ratio , peak signal to noise ratio , lossless jpeg , image processing , mathematics , image (mathematics) , internal combustion engine , automotive engineering , engineering