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
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;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161992