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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.
In the future, a comprehensive home surveillance system could be constructed using a network of pre-existing cameras found in household products. To be incorporated into household products, the camera must be small. In addition, for surveillance cameras, resolution and sensitivity are important. There is a trade-off between these three requirements, small-size, high-resolution and high-sensitivity...
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