DocumentCode :
3454747
Title :
Structure based noise reduction using LPA-ICI
Author :
Song, Younghun ; Han, Yunsang ; Lee, Sangkeun
Author_Institution :
Dept. of Imaging Eng., Chung-Ang Univ., Seoul, South Korea
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
498
Lastpage :
499
Abstract :
In this paper, we introduce a structure-based noise reduction algorithm using LPA-ICI technique. The proposed scheme consists of two main steps: In the first step, we obtained a scale map using LPA-ICI technique to determine the proper criterions, such as mask size and search range, during the filtering step; In the second step, we perform the filtering which considers the local structure between a current block and neighboring blocks for preserving local information. The experimental results showed that the proposed method could significantly reduce noise and preserve the detail and edge information. It is believed that it can be used as a good tool for noise reduction in the field of consumer electronics.
Keywords :
filtering theory; image denoising; polynomial approximation; LPA-ICI technique; consumer electronics; detail preservation; edge information preservation; filtering step; local polynomial approximation-intersection-of-confidence interval technique; mask size; scale map; search range; structure-based noise reduction algorithm; Filtering; Filtering algorithms; Gaussian noise; Image restoration; Noise reduction; PSNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6161992
Filename :
6161992
Link To Document :
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