Open AccessWeighted overlapped recovery for blocking artefacts reduction in block‐based compressive sensing of images
Author(s) -
Dinh Khanh Quoc,
Shim Hiuk Jae,
Jeon Byeungwoo
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.3200
Subject(s) - blocking (statistics) , block (permutation group theory) , compressed sensing , weighting , computation , computer science , reduction (mathematics) , frame (networking) , computer vision , artificial intelligence , algorithm , pattern recognition (psychology) , mathematics , telecommunications , acoustics , computer network , geometry , physics
In compressive sensing (CS) of images, a block‐based framework is preferred to avoid the huge memory and computation required for a frame‐based approach. However, the recovered image suffers from blocking artefacts due to independent block processing, especially at a low subrate. As a result of this reported work the artifacts are reduced by weighted averaging adopting two techniques: overlapped CS recovery and adaptive weighting. Simulation results show its improvement in both subjective and objective qualities.