Paper Info
Title
Mtf Compensation Algorithm Based On Blind Deconvolution For High Resolution Remote Sensing Satellite
Abstract
In high resolution remote sensing satellite imaging system, image restoration is an important step to visualize fine details and mitigate the noise. The raw image data often presents poor imaging quality due to various reasons and Point Spread Function (PSF) measures such blurriness characteristic of the image using point source. Satellite image from Korea Multi-purpose Satellite 2 (KOMPSAT-2) also requires Modular Transfer Function (MTF) compensation process to achieve more realistic image which entails removing ringing artifacts at the edges and restraining excess use of denoising effect in order to keep it more realistic. This paper focuses on the deconvolution of KOMPSAT-2 image utilizing PSF attained from Korea Aerospace Research Institute compared to deconvolution with the estimated PSF blur kernel. The deconvolution algorithm considered are Richard-Lucy, Damped Richard-Lucy, Bilateral Richard-Lucy and Sparse Prior deconvolution algorithms.
Year
DOI
Venue
2012
10.1117/12.920877
VISUAL INFORMATION PROCESSING XXI
Keywords
Field
DocType
satellites,denoising,aerospace engineering,algorithms,remote sensing,deconvolution
Noise reduction,Richardson–Lucy deconvolution,Blind deconvolution,Remote sensing,Deconvolution,Artificial intelligence,Image restoration,Point spread function,Kernel (linear algebra),Ringing artifacts,Computer vision,Optics,Physics
Conference
Volume
ISSN
Citations 
8399
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
jihye lee100.34
Joohwan Chun239635.12
donghwan lee300.34