31 December 2008 The image denoising technique based on independent component analysis
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71304I (2008) https://doi.org/10.1117/12.819722
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
Abstract
In a 3D vision system with self-calibration, a new calibration method using pattern projection, it is necessary to process a lot of image data, within which the image denoising is one of the foundation work. In this paper, independent component analysis (ICA), a simple, efficient and applied method to clean image noise is introduced. Independent component analysis is a recently developed method in which the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and noise cleaning of an image.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiqun Jin, Shiqun Jin, Qiaoyun Liu, Qiaoyun Liu, Youqiang Zhong, Youqiang Zhong, } "The image denoising technique based on independent component analysis", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71304I (31 December 2008); doi: 10.1117/12.819722; https://doi.org/10.1117/12.819722
PROCEEDINGS
6 PAGES


SHARE
Back to Top