Fast reconstruction denoising algorithm of gray image based on compressive sensing
WU Cheng-mao · 2012
Due to the disadvantage of large computation and image quality degradation of classical reconstruction algorithm,a novel image fast reconstruction denoising algorithm based on traditional compression sensing is presented.Firstly,A 1-layer wavelet decomposition is used to extract the approximate coefficients and detail coefficients from the image and a soft threshold denoising method is used to deal with extracted detail coefficients.Secondly,a new compression sensing reconstruction method has been used to recover these approximate coefficients and disposaled detail coefficients.Finally,the reconstructed images are obtained based on recovered detail coefficients and approximate coefficients by wavelet inversed-transform.Experimental results demonstrate that the proposed method can reduce the computation,remove image noise and improve the quality of the reconstructed image.