Open AccessContext-Aware Image Compression
Author(s) -
Jacky C. K. Chan,
Ata Mahjoubfar,
Claire L. Chen,
Bahram Jalali
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0158201
Subject(s) - upsampling , lossy compression , data compression , computer science , image compression , decoding methods , data compression ratio , compression (physics) , coding (social sciences) , context (archaeology) , distortion (music) , artificial intelligence , algorithm , computer vision , mathematics , physics , image (mathematics) , image processing , statistics , telecommunications , biology , paleontology , amplifier , bandwidth (computing) , thermodynamics
We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression, here the decoding can be performed without the need of phase recovery. We present rate-distortion analysis and show improvement in PSNR compared to compression via uniform downsampling.