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Soft Thresholding Method Using Gabor Cosine and Sine Transform for Image Denoising  

Lee, Juck-Sik (경기대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.11, no.1, 2010 , pp. 1-8 More about this Journal
Abstract
Noise removal methods for noisy images have been studied a lot in the domain of spatial and transform filtering. Low pass filtering was initially applied in the spatial domain. Recently, discrete wavelet transform has widely used for image denoising as well as image compression due to an excellent energy compaction and a property of multiresolution. In this paper, Gabor cosine and sine transform which is considered as human visual filter is applied to image denoising areas using soft thresholding technique. GCST is compared with excellent wavelet transform which uses existing soft thresholding methods from PSNR point of view. Resultant images removed noises are also visually compared. Experimental results with adding four different standard deviation levels of Gaussian distributed noises to real images show that the proposed transform has better PSNR performance of a maximum of 1.18 dB and visible perception than wavelet transform.
Keywords
denoising; GCST; DWT; soft thresholding;
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Times Cited By KSCI : 3  (Citation Analysis)
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