Literature DB >> 20550998

Comments on "Image denoising by sparse 3-D transform-domain collaborative filtering".

Yingkun Hou1, Chunxia Zhao, Deyun Yang, Yong Cheng.   

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.

Year:  2010        PMID: 20550998     DOI: 10.1109/TIP.2010.2052281

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering.

Authors:  Yingkun Hou; Sang Hyun Park; Qian Wang; Jun Zhang; Xiaopeng Zong; Weili Lin; Dinggang Shen
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

2.  Low-Dose CT Image Denoising Based on Improved DD-Net and Local Filtered Mechanism.

Authors:  Hongen Liu; Xin Jin; Ling Liu; Xin Jin
Journal:  Comput Intell Neurosci       Date:  2022-08-03
  2 in total

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