Title :
Image Estimation Using Total Least Squares
Author :
Li, Xuan ; Hou, Zheng-Xin ; Wang, Cheng-You
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Abstract :
Images from the digital image sensor are corrupted with all kinds of noise interference, including additive, multiplicative and mixed noise. In particular, the extent of multiplicative noise changes with signal amplitude, there is no better removing method, and in recent years appears a kind of image estimation based on total least squares (TLS), which is no parameter estimation, can better solve the problem. The estimation performance depends on many factors, one of which is the size of the image patches impacting more greatly on estimation. This issue will be studied in the paper.
Keywords :
image denoising; image restoration; image sensors; additive noise; digital image sensor; image denoising; image estimation; image restoration; mixed noise; multiplicative noise; parameter estimation; signal amplitude; total least squares; Additive noise; Aerospace engineering; Amplitude estimation; CMOS image sensors; Filtering; Gaussian noise; Least squares approximation; Noise level; Noise reduction; Pixel;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5301923
