Wavelet Transforms of Image Reconstruction Based on Compressed Sampling

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1920-1925

DOI:

10.4028/www.scientific.net/AMM.58-60.1920

Citation:

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

Online since:

June 2011

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Price:

$35.00

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