Compressive sensing reconstruction using collaborative sparsity among color channels

Author

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

Author_Institution

Adv. Res. Div., Panasonic Corp., Kyoto, Japan

fYear

2015

fDate

18-22 May 2015

Firstpage

406

Lastpage

409

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.

Keywords

compressed sensing; image coding; image colour analysis; image reconstruction; collaborative sparsity; color channels; complex texture; compressive sensing; compressive sensing reconstruction; image quality; multi-frame images; occlusion boundaries; Cameras; Collaboration; Compressed sensing; Image color analysis; Image quality; Image reconstruction; Three-dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision Applications (MVA), 2015 14th IAPR International Conference on

Conference_Location

Tokyo

Type

conf

DOI

10.1109/MVA.2015.7153215

Filename

7153215

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3083349