Fast and Efficient Filter Using Wavelet Threshold for Removal of Gaussian Noise from MRI/CT Scanned Medical Images/Color Video Sequence. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Elaiyaraja, G.; Kumaratharan, N.; Chandra Sekhar Rao, T.
• Is Part Of: IETE journal of research. Volume 68:Issue 1(2022)
• Page Start: 10
• Page End: 22
• Publication Date: 2022-01-02
• Subjects: Adaptive bilateral filter -- Gaussian filter -- System noise -- Visual image fidelity -- Wavelet threshold; Electronics -- Periodicals; Telecommunication -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/03772063.2019.1579679
• Languages: English
• ISSNs: 0377-2063

Abstract

Abstract : We proposed an optimum de-noising filter using wavelet threshold for the removal of adaptive white Gaussian noise from degraded medical images/colour video sequence based on system noise calculation. The performance of the proposed Gaussian de-noising technique is compared with various de-noising techniques such as Bayesian least squares-Gaussian scale mixtures, bilateral filter, adaptive bilateral filter, multi-resolution bilateral filter, nonlocal-Means, wavelet threshold based filters, and kernel-based method. The proposed methods have comparable/superior performance and less computational time compared to other techniques.