NDLI: A Novel Image Denoising Algorithm Based on Non-Uniform Triangular Partition and Interpolation

Content Provider	IEEE Xplore Digital Library
Author	KinTak, U. Nian Ji Dongxu Qi Zesheng Tang Ruixia Song
Copyright Year	2010
Abstract	Distinguishing from the traditional denoising methods, this paper proposes a novel denoising algorithm according to the image-surface fitting after the Non-Uniform Triangular Partition. A given image can automatically be partitioned into different triangles with different dimensions and the bivariate polynomial is used to do the Optimal Quadratic Approximation to gray values of image in each sub-triangle. When the approximation error and bivariate polynomial are specified, a specific image partition result is obtained. The partitioning codes obtained can be used to reconstruct the original image. In general, the smallest the error, the better approximation effect is obtained. However, we should select a suitable error to get the best approximation to original image instead of the noised image. On the other hand, in order to avoid the triangle effect after denoising and obtain a better denoising result, the interpolation method is used before and after the denoising by Non-Uniform Triangular Partition. Experimental results show that this method can obtain a better denoising effect by comparing with other methods to some extend.
Starting Page	67
Ending Page	70
File Size	1573563
Page Count	4
File Format	PDF
ISBN	9781424473786
e-ISBN	9781424473793
DOI	10.1109/ICFPEE.2010.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation PSNR Smoothing methods Noise reduction Triangular partition Partitioning algorithms Non-uniform partition of image Image denoising
Content Type	Text
Resource Type	Article

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