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Application of Lifting Wavelet Transform in Image Denoising

Fuze Xu -

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Abstract

The principle and procedures of the second-generation wavelet transform are discussed,and applied to the denoising of noising image.Deslauriers-Dubuc(4,2) wavelet transforms are used to process image data in lifting wavelet transform. Denoising is done in the high frequency sub-bands at each level by soft-threshold.The processing results show that gaussian-noise is effectively suppressed and the signal to noise ratio improves remarkably.The lifting wavelet transform is an efficient algorithm.

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What this paper is about

The principle and procedures of the second-generation wavelet transform are discussed,and applied to the denoising of noising image.Deslauriers-Dubuc(4,2) wavelet transforms are used to process image data in lifting wavelet transform. Denoising is done in the high frequency sub-bands at each level by soft-threshold.The processing results show that gaussian-noise is effectively suppressed and the signal to noise ratio improves remarkably.The lifting wavelet transform is an efficient algorithm.

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Available abstract

The principle and procedures of the second-generation wavelet transform are discussed,and applied to the denoising of noising image.Deslauriers-Dubuc(4,2) wavelet transforms are used to process image data in lifting wavelet transform. Denoising is done in the high frequency sub-bands at each level by soft-threshold.The processing results show that gaussian-noise is effectively suppressed and the signal to noise ratio improves remarkably.The lifting wavelet transform is an efficient algorithm.

Key concepts: Second-generation wavelet transform, Lifting scheme, Wavelet transform, Stationary wavelet transform, Wavelet packet decomposition, Wavelet, Harmonic wavelet transform, Discrete wavelet transform

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