Treffer: Satellite image blind restoration based on surface fitting and iterative Multishrinkage method in redundant wavelet domain

Title:
Satellite image blind restoration based on surface fitting and iterative Multishrinkage method in redundant wavelet domain
Authors:
CHEN, Xin-Bing, YANG, Shi-Zhi, WANG, Xian-Hua, QIAO, Yan-Li
Source:
Optik (Stuttgart). 121(21):1909-1911
Publisher Information:
Reutlingen: Elsevier, 2010.
Publication Year:
2010
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Subject Terms:
Optics, Optique, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Domaines classiques de la physique (y compris les applications), Fundamental areas of phenomenology (including applications), Optique, Optics, Formation des images et traitement optique, Imaging and optical processing, Fonctions de transfert optique et de transfert de modulation, Modulation and optical transfer functions, Algorithme, Algorithms, Fonction transfert modulation, Modulation transfer function, Función transferencia modulación, Imagerie, Imagery, Imaginería, Modèle statistique, Statistical models, Méthode itérative, Iterative methods, Méthode optimisation, Optimization method, Método optimización, Restauration image, Image restoration, 4230L, Blind image restoration, Multishrinkage, Multivariate statistical model, Optimization-transfer method, Surface fitting
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Remote Sensing Lab, Hefei 230031, China
ISSN:
0030-4026
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=23419052
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physics: optics
Accession Number:
edscal.23419052
Database:
PASCAL Archive

Weitere Informationen

In view of the non-unique, unstable and even divergent properties of the solution of iterative blind restoration, a non-iterative blind image-restoration algorithm was proposed, which included MTF estimation step and image-restoration step. In the MTF estimation stage, based on every degradation process of satellite imaging chain, a combined parametric model of MTF was given and used to fit the surface of normalized logarithmic amplitude spectrum of degraded image. In the image-restoration stage, a multivariate statistical model was introduced that can perfectly characterize the dependency of the neighboring wavelet coefficients and of reference coefficient and its parent. During the image-restoration, optimization-transfer method was adopted to decompose the image-restoration procedure into two simple steps: Landweber iteration and Multishrinkage denoising. In the numerical experiment, the comparison of restored panchromatic SPOT-5 (5 m) images with corresponding panchromatic SPOT-5 (2.5 m) image and higher resolution aerial image from the Google Earth software shows that the proposed algorithm can significantly restore some detailed information and effectively inhibit noise.