NDLI: Bilateral filter acceleration based on weighted variable projection

Content Provider	IET Digital Library
Author	Yuan, Mengke Zhang, Xiaopeng
Abstract	Due to the heavy computation cost, the bilateral filter cannot be applied to real-time applications. To deal with this problem, many range kernel approximation based acceleration schemes have been proposed. However, all these methods use predefined basis function and assign the same penalisation for all range values to fulfil range kernel approximation. These constraints block from further improving the filtering accuracy and speed. Employing weighted variable projection, a new acceleration method which achieves state-of-the-art performance is proposed. This is done by: (i) unleashing the constraint of using fixed basis function; (ii) exploiting the colour distribution information of the input image to perform a weighted approximation of the range kernel. Experiments demonstrate the superiority of the proposed method in gaining more accurate filtering results efficiently.
Starting Page	352
Ending Page	353
Page Count	2
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 6, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.4592
Journal	Electronics Letters
Publisher Date	2018-02-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acceleration Method Acceleration Scheme Accurate Filtering Result Approximation Theory Bilateral Filter Acceleration Computational Complexity Computer Vision And Image Processing Technique Filtering Accuracy Filtering Method in Signal Processing Filtering Theory Fixed Basis Function Gaussian Processes Heavy Computation Cost Image Colour Analysis Learning in AI Optical, Image And Video Signal Processing Predefined Basis Function Range Kernel Approximation Range Value Real Time Application Speed State-of-the-art Performance Weighted Approximation Weighted Variable Projection
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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