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Performance Assessment of Edge Preserving Filters

Performance Assessment of Edge Preserving Filters

Kamireddy Rasool Reddy, Madhava Rao Ch, Nagi Reddy Kalikiri
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 29
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781522513780|DOI: 10.4018/IJISMD.2017040101
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MLA

Reddy, Kamireddy Rasool, et al. "Performance Assessment of Edge Preserving Filters." IJISMD vol.8, no.2 2017: pp.1-29. http://doi.org/10.4018/IJISMD.2017040101

APA

Reddy, K. R., Ch, M. R., & Kalikiri, N. R. (2017). Performance Assessment of Edge Preserving Filters. International Journal of Information System Modeling and Design (IJISMD), 8(2), 1-29. http://doi.org/10.4018/IJISMD.2017040101

Chicago

Reddy, Kamireddy Rasool, Madhava Rao Ch, and Nagi Reddy Kalikiri. "Performance Assessment of Edge Preserving Filters," International Journal of Information System Modeling and Design (IJISMD) 8, no.2: 1-29. http://doi.org/10.4018/IJISMD.2017040101

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Abstract

Denoising is one of the important aspects in image processing applications. Denoising is the process of eliminating the noise from the noisy image. In most cases, noise accumulates at the edges. So that prevention of noise at edges is one of the most prominent problem. There are numerous edge preserving approaches available to reduce the noise at edges in that Gaussian filter, bilateral filter and non-local means filtering are the popular approaches but in these approaches denoised image suffer from blurring. To overcome these problems, in this article a Gaussian/bilateral filtering (G/BF) with a wavelet thresholding approach is proposed for better image denoising. The performance of the proposed work is compared with some edge-preserving filter algorithms such as a bilateral filter and the Non-Local Means Filter, in terms that objectively assess quality. From the simulation results, it is found that the performance of proposed method is superior to the bilateral filter and the Non-Local Means Filter.

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