Study on the method of colour image noise reduction based on optimal channel‐processing. Issue 9 (1st September 2018)

• Record Type: Journal Article
• Authors: Wang, Yutan; Dai, Yingpeng; Liu, Xiangnan; Liu, Bohan; Guo, Xiaoyun
• Is Part Of: IET image processing. Volume 12:Issue 9(2018)
• Page Start: 1555
• Page End: 1559
• Publication Date: 2018-09-01
• Subjects: image enhancement -- image denoising -- image colour analysis -- adaptive filters -- optimisation -- median filters -- filtering theory -- wavelet transforms; colour image noise reduction -- optimal channel‐processing -- image quality -- different noise reduction technologies -- optimal algorithm -- optimal noise reduction effect -- quadratic optimisation -- variable window processing -- mixed noise -- image smoothing result -- noise figure 2.0 dB; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2017.0871
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : The methods of the image noise reduction based on optimal channel‐processing to enhance image quality are studied. According to different noise with the different ratio in colour components, different noise reduction technologies are used for noise reduction. Then the optimal algorithm is automatically selected as the ultimate way of noise reduction in each channel. For the purpose of optimal noise reduction effect, this study presents a method of combining the quadratic optimisation with the variable window processing. The quadratic optimisation provides a good environment for noise reduction by decreasing complexity of mixed noise and the variable window processing calibrates the image smoothing result. Compared with mean filtering, median filtering and adaptive filtering, the image quality processed by the proposed algorithm is generally improved by >2 dB.