A Sub-Band Adaptive Visushrink in Wavelet Domain for Image Denoising
M. Laavanya1, V. Vijayaraghavan2
1M. Laavanya, Department of ECE, VFSTR, Guntur (Andhra Pradesh), India.
2V. Vijayaraghavan, Department of ECE, VFSTR, Guntur (Andhra Pradesh), India.
Manuscript received on 13 February 2019 | Revised Manuscript received on 04 March 2019 | Manuscript Published on 08 June 2019 | PP: 289-291 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10590275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A novel sub-band adaptive Visushrink approach in wavelet domain for image denoising, is proposed. In the transformed noisy image, the variance of wavelet coefficients will not be same across the scale and mean value of noisy signal will be more. Hence a sub-band adaptive threshold using, noise and signal variance is computed. The proposed threshold is simple and adaptive to the decomposition scale. The wavelet transformed noisy image undergoes thresholding using the proposed threshold. Comparative PSNR evaluation shows that the projected approach is superior to other techniques by removing noise with protection of image edges.
Keywords: Adaptive Threshold, DTCWT, Image Denoising, PSNR, Visushrink.
Scope of the Article: Image Security