24 November 2009 Image denoising method based on 3D transform and local noise analysis
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This paper proposes a novel image denoising method based on filtering in 3D transform domain. At first, we apply block-DCT to the image point-by-point, then, all the transform data block are collected to build a 3D array. All the coefficients from the same band in this 3D array can be an 1D-array. We apply global 1D-DCT to those 1D-arrays, and get local de-noise threshold by local noise analysis and local structure analysis. After threshold process, we can get result by inverse 1D-DCT and inversing block-DCT corresponding to forward transform. The experimental results show that the proposed technique deliver state-of-art denoising performance, both in terms of objective criteria and visual quality.
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ZhiHui Li, ZhiHui Li, XiaoJing Xu, XiaoJing Xu, HaiZhen Liu, HaiZhen Liu, YongQiang Wang, YongQiang Wang, } "Image denoising method based on 3D transform and local noise analysis", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 751324 (24 November 2009); doi: 10.1117/12.838016; https://doi.org/10.1117/12.838016


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