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Adaptive filter and threshold for image denoising in new generation wavelet

Author

Listed:
  • Vo Thi Hong Tuyet

    (Ho Chi Minh City Open University, Vietnam)

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.

Suggested Citation

  • Vo Thi Hong Tuyet, 2016. "Adaptive filter and threshold for image denoising in new generation wavelet," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 6(2), pages 89-96.
    • Handle: RePEc:bjw:techen:v:6:y:2016:i:2:p:89-96
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