Wavelet Transforms of Image Reconstruction Based on Compressed Sampling
A compressive sensing technique for image signal to cope with image compression and restoration is adopted in this paper. First of all wavelet transforms method is applied in image compressing to preserve the constructive, Secondly, sparse matrix is available by required wavelet ratio. Thirdly, the compressing image is used to restoration the original image. Experimental results show that the proposed algorithm is effective and compares favorably with existing techniques.
Y. W. Wang and H. L. Yu, "Wavelet Transforms of Image Reconstruction Based on Compressed Sampling", Applied Mechanics and Materials, Vols. 58-60, pp. 1920-1925, 2011