Adaptive filter and threshold for image denoising in new generation wavelet

Vo Thi Hong Tuyet ()
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Vo Thi Hong Tuyet: Ho Chi Minh City Open University, Vietnam

HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, 2016, vol. 6, issue 2, 89-96

Abstract: In reality, the nature images have the noise values because of many reasons. These values make the quality of images to decrease. Wavelet transform is proposed for denoising and it gives the better results. But with curvelet transform, one of the new generations of wavelet, the quality of images continues to be improved. In this paper, my proposed method is to combine filter and threshold to calculate the denoising coefficients in curvelet domain. The result of proposed method is compared with other previous methods and shows an improvement.

Keywords: image denoising; median filter; bayesian thresholding; curvelet transform (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:bjw:techen:v:6:y:2016:i:2:p:89-96

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