Image estimation using total least squares

Authors:
Xuan Li;Zheng-Xin Hou;Cheng-You Wang
Affiliations:
School of Electronic Information Engineering, Tianjin University, Tianjin, China and School of Electronic Information Engineering, Shenyang Institute of Aeronautical Engineering, Shenyang, China;School of Electronic Information Engineering, Tianjin University, Tianjin, China;School of Electronic Information Engineering, Tianjin University, Tianjin, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 5
Cited 0

Matrix computations (3rd ed.)

Matrix computations (3rd ed.)
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency

IEEE Transactions on Signal Processing
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising

IEEE Transactions on Image Processing
Adaptively quadratic (AQua) image interpolation

IEEE Transactions on Image Processing
Image denoising using total least squares

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

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.