Compressive sensing reconstruction using collaborative sparsity among color channels

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.