Compressive sensing reconstruction using collaborative sparsity among color channels

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Satoshi Sato, Motonori Ishii, Yoshihisa Kato, Kunio Nobori, Takeo Azuma

Published: 01 Jan 2015, Last Modified: 09 Nov 2025MVA 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This study describes a reconstruction method for compressive sensing using collaborative sparsity among multi-frame images and color channels. The proposed method reduces the artifact for compressive sensing and obtains better image quality. Experimental results reveal that the proposed method reconstructs 6.1 dB higher quality images than the conventional one for complex texture at occlusion boundaries.