MMW and THz images denoising based on adaptive CBM3D

Li Dai; Yousai Zhang; Yuanjiang Li; Haoxiang Wang

doi:10.1117/12.2064052

16 April 2014 MMW and THz images denoising based on adaptive CBM3D

Li Dai, Yousai Zhang, Yuanjiang Li, Haoxiang Wang

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 915906 (2014) https://doi.org/10.1117/12.2064052
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

Over the past decades, millimeter wave and terahertz radiation has received a lot of interest due to advances in emission and detection technologies which allowed the widely application of the millimeter wave and terahertz imaging technology. This paper focuses on solving the problem of this sort of images existing stripe noise, block effect and other interfered information. A new kind of nonlocal average method is put forward. Suitable level Gaussian noise is added to resonate with the image. Adaptive color block-matching 3D filtering is used to denoise. Experimental results demonstrate that it improves the visual effect and removes interference at the same time, making the analysis of the image and target detection more easily.

Citation Download Citation

Li Dai, Yousai Zhang, Yuanjiang Li, and Haoxiang Wang "MMW and THz images denoising based on adaptive CBM3D", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915906 (16 April 2014); https://doi.org/10.1117/12.2064052

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