Open AccessDenoising: A Dual Domain Method
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4555.119119
Subject(s) - noise reduction , computer science , artificial intelligence , noise (video) , computer vision , domain (mathematical analysis) , segmentation , transmission (telecommunications) , pattern recognition (psychology) , wavelet , video denoising , image (mathematics) , object (grammar) , mathematics , telecommunications , mathematical analysis , video tracking , multiview video coding
Image has an important role to play in our daily life. It has its applications from simple documentation to complicated surveillance and medical applications. In the area of image processing, denoising is one among the most studied areas. Many a times the captured image will be degraded. This can happen at the time of acquisition and/or transmission. Noise is one such degrading agent. The presence of noise will affect the performance of the applications like segmentation, recognition, object detection and medical as well as general applications. Hence denoising is a prerequisite in these applications. The proposed method utilizes both transform and spatial domains. Shrinkage technique is applied in wavelet domain and in spatial domain, non-local means is used. Simulation is conducted on standard test images. The tabulated results shows that, the proposed method performs comparatively better.