A level-wavelet-dependent scheme for image denoising via undecimated wavelet transform

Authors:
Andrew K. Ng;T. S. Koh;C. H. Thng
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;National Cancer Center, Singapore
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

Citing 4
Cited 0

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Abstract

Denoising is a fundamental work in all image processing. This paper proposes a level-wavelet-dependent (LWD) scheme, which utilizes undecimated discrete wavelet transform and a hard-thresholding rule with a modified LWD threshold. Performance of the LWD denoising scheme are comparatively evaluated with the classical Donoho denoising scheme. Experiments conducted on both non-clinical and clinical images show that the LWD scheme could perform better than the Donoho scheme, yielding improved visual quality, lower mean-square-error, and hence, higher peak-signal-to-noise ratio.