NDLI: Optimal weighted bilateral filter with dual-range kernel for Gaussian noise removal

Content Provider	IET Digital Library
Author	Wu, Geming Luo, Shuqian Yang, Zhi
Abstract	The bilateral filter is a classical technique for edge-preserving smoothing. It has been widely used as an effective image denoising approach to remove Gaussian noise. The performance of bilateral filtering highly depends on the accuracy of its range distance estimation, which is used for pixel-neighbourhood similarity measurement. However, in the conventional bilateral filtering approach, estimating the range distance directly from noisy observation results in the degradation of denoising performance. To address this issue, the authors propose a novel bilateral filtering scheme with a dual-range kernel, which provides a more robust range of distance estimation at various noise levels compared with existing methods. To further improve the denoising performance, they employ a linear model to retrieve the remaining image details from the method noise and add them back to the denoised image by employing an optimal approach based on Stein's unbiased risk estimate. Experiments on standard test images demonstrate that the proposed method outperforms conventional bilateral filter and its major state-of-the-art variants.
Starting Page	1840
Ending Page	1850
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 9, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6272
Journal	IET Image Processing
Publisher Date	2020-03-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Classical Technique Computer Vision And Image Processing Technique Conventional Bilateral Filter Conventional Bilateral Filtering Approach Denoised Image Denoising Performance Dual-range Kernel Edge-preserving Smoothing Effective Image Denoising Approach Filtering Method in Signal Processing Filtering Theory Gaussian Noise Gaussian Noise Removal Image Denoising Method Noise Noise Levels Noisy Observation Result Novel Bilateral Optical, Image And Video Signal Processing Optimal Approach Optimal Weighted Bilateral Filter Pixel-neighbourhood Similarity Measurement Range Distance Estimation Remaining Image Details Robust Range Smoothing Method Standard Test Image Statistics Stein's Unbiased Risk Estimate
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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