Satellite image restoration using statistical models

Authors:
K. Rajesh;K. C. Roy;S. Sengupta;S. Sinha
Affiliations:
Department of Geology and Geophysics, Indian Institute of Technology, Kharagpur 721302, India;Department of Electrical Engineering, Indian Institute of Technology, Kharagpur 721302, India;Department of Geology and Geophysics, Indian Institute of Technology, Kharagpur 721302, India;Department of Electrical Engineering, Indian Institute of Technology, Kharagpur 721302, India
Venue:
Signal Processing
Year:
2007

Citing 6
Cited 0

Fundamentals of digital image processing

Fundamentals of digital image processing
Recursive estimation of fourth-order cumulants with application to identification

Signal Processing
An edge preserving noise smoothing technique using multiscale morphology

Signal Processing
Statistical characterisation and modelling of SAR images

Signal Processing
Advanced Digital Signal Processing and Noise Reduction

Advanced Digital Signal Processing and Noise Reduction
Bispectral analysis and model validation of texture images

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

Image restoration by noise suppression is a topic of considerable interest in satellite image processing. We propose a non-causal eight neighbourhood image restoration model based on autocorrelation and triple correlation functions of the noise corrupted satellite image. The image reconstruction is being done by the estimated parameters. In addition to image smoothing, the edges are also preserved while reconstruction. A quantitative analysis of the restored images is also carried out by comparing the features of modeled images with that of shift-variant regularization approach.