Open AccessImage set compression for similar images with priorities
Author(s) -
Sha Lina,
Wu Wei,
Li Bingbing
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.7342
Subject(s) - image compression , coding (social sciences) , computer science , set (abstract data type) , data compression , image (mathematics) , distortion (music) , artificial intelligence , algorithm , compression (physics) , computer vision , mathematics , image processing , telecommunications , statistics , materials science , composite material , programming language , amplifier , bandwidth (computing)
This Letter first proposes an algorithm for compressing the sets of the similar images with priorities. The proposed algorithm includes four modules, i.e. priority assigned, depth‐ and priority‐constrained minimum arborescence generation, disparity reduction, and residue coding. Experimental results demonstrate that the proposed algorithm can effectively compress the similar images with priorities, and achieves similar rate‐distortion performance to the state‐of‐the‐art image set compression algorithm which has no constraints of depth and priority.