A New Adaptive Image Denoising Method Based on The Nonsubsampled Contourlet Transform Algorithm

Xiaoyue, 武晓玥 Wu; Baolong, 郭宝龙 Guo; Lu, 唐璐 Tang; Leida, 李雷达 Li

doi:10.3788/aos20092908.2147

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Nonsubsampled Contourlet Transform1

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2011

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“…2 (a), the basic low-pass and high-pass filter banks are provided by NSPFB, and they satisfy the perfect reconstruction condition, as follows: The multi-directional of NSCT can be realized by NSDFB and NSPFB via a torus algorithm. Above all, NSCT has the advantanges of multi-scale, multi-directional, and shift-invariant, moreover, it can eliminate the pseudo Gibbs phenomena [7,8]. × blocks which are given by:…”

Section: Nonsubsampled Contourlet Transformmentioning

confidence: 99%

NSCT De-Noising Algorithm Based on Image Partition and Noise Variance Estimation

Liu

2011

AMM

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Aiming at the low de-noising effect of texture detail in the image, a NSCT de-noising method based on image partition and noise variance estimation was proposed. Since NSCT has the features of translation invariance and multi-directional selectivity, and noise has different impacts on different textures of image, the image can be divided into several blocks with the same size, then the noise variance and threshold of each block will be calculated, furthermore, NSCT is used to denoise each block, and finally, the blocks are merged. The experiments proved that by comparison with traditional NSCT de-noising algorithm, the proposed algorithm effectively preserved the texture detail information of original image.

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Section: Nonsubsampled Contourlet Transformmentioning

confidence: 99%

NSCT De-Noising Algorithm Based on Image Partition and Noise Variance Estimation

Liu

2011

AMM

View full text Add to dashboard Cite

show abstract

A New Adaptive Image Denoising Method Based on The Nonsubsampled Contourlet Transform Algorithm

Cited by 1 publication

References 0 publications

NSCT De-Noising Algorithm Based on Image Partition and Noise Variance Estimation

NSCT De-Noising Algorithm Based on Image Partition and Noise Variance Estimation

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