Weighted overlapped recovery for blocking artefacts reduction in block‐based compressive sensing of images | Zendy

Dinh Khanh Quoc | Zendy; Shim Hiuk Jae | Zendy; Jeon Byeungwoo | Zendy

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Weighted 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 , reduction (mathematics) , computer science , materials science , algorithm , mathematics , computer network , geometry

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.

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