Title :
Comments on "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
Author :
Hou, Yingkun ; Zhao, Chunxia ; Yang, Deyun ; Cheng, Yong
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
In order to resolve the problem that the denoising performance has a sharp drop when noise standard deviation reaches 40, proposed to replace the wavelet transform by the DCT. In this comment, we argue that this replacement is unnecessary, and that the problem can be solved by adjusting some numerical parameters. We also present this parameter modification approach here. Experimental results demonstrate that the proposed modification achieves better results in terms of both peak signal-to-noise ratio and subjective visual quality than the original method for strong noise.
Keywords :
discrete cosine transforms; filtering theory; image denoising; wavelet transforms; DCT; image denoising; noise standard deviation; signal-to-noise ratio; sparse 3D transform-domain collaborative filtering; wavelet transform; Collaboration; Discrete cosine transforms; Filtering; Image denoising; Noise level; Noise reduction; PSNR; Permission; Standards development; Wavelet transforms; BM3D; high levels noise; image denoising;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2052281