ZHAO Hongchen, ZHOU Xinghua, PENG Cong, LIU Yongxue, ZHANG Jiafa, CHEN Yilan. An Integrated BM3D Method for Removing Mixed Noise in Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2019, 44(6): 925-932. DOI: 10.13203/j.whugis20170188
Citation: ZHAO Hongchen, ZHOU Xinghua, PENG Cong, LIU Yongxue, ZHANG Jiafa, CHEN Yilan. An Integrated BM3D Method for Removing Mixed Noise in Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2019, 44(6): 925-932. DOI: 10.13203/j.whugis20170188

An Integrated BM3D Method for Removing Mixed Noise in Remote Sensing Image

  • BM3D (block matching and 3D filtering) method is an effective Gaussian noise removing method, but it shows limitation when removing Gaussian and impulse mixed noise in remote sensing images. The integrated method is a more effective way to remove mixed noise. In order to make full use of the advantages of BM3D method, an improved integration method (integrated BM3D method) has been developed. And a modified method M-Liu method is raised and used for estimating the priori noise level as an input parameter for the integrated BM3D method. According to algorithm validation, this paper draws the conclusion that the integrated BM3D method, taking the removal of image noise and the retention of detail signals into account, has good denoising performance. The method can be used to provide a new method for image denoising, and it is useful for the later application of remote sensing image.
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