Medical Image Quality Enhancement System with Noise Removal Based on NSCT and WOA
J. Jayapal1, Ravi Subban2
1J. Jayapal, Research Scholar, Bharathiar University, Coimbatore (Tamil Nadu), India.
2Dr. Ravi Subban, Assistant Professor, Department of Computer Science and Engineering, Pondicherry University, (Pondicherry), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 291-297 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10651282S18/18 ©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: Noise is one of the inevitable curses of images, which seriously affects the process of image analysis. An image processing can yield better results only when the images are of better quality. Image pre-processing is the most significant phase than any other image processing activities. The main activity of image pre-processing is the image denoising. Though there are numerous denoising systems in the existing literature, the denoising systems for medical images are on high demand due to the sensitiveness. Understanding the requirement, this article intends to present a denoising system for medical images based on the combination of Non-Subsampled Contourlet Transform (NSCT) and Whale Optimization Algorithm (WOA). The performance of the proposed approach is tested in terms of PSNR and SSIM. The proposed approach proves better performance, when compared to the existing approaches.
Keywords: Noise, Image Denoising, Quality Enhancement.
Scope of the Article: Image Security