Image denoising method based on 3D transform and local noise analysis

ZhiHui Li; XiaoJing Xu; HaiZhen Liu; YongQiang Wang

doi:10.1117/12.838016

24 November 2009 Image denoising method based on 3D transform and local noise analysis

ZhiHui Li, XiaoJing Xu, HaiZhen Liu, YongQiang Wang

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 751324 (2009) https://doi.org/10.1117/12.838016
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

Abstract

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.

Citation Download Citation

ZhiHui Li, XiaoJing Xu, HaiZhen Liu, and 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); https://doi.org/10.1117/12.838016

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