Open AccessAnalysis of processing techniques and then quantitative measures which determine most appropriate Donoho's approach for image restoration
Author(s) -
Nitish Chowdhary,
Bhubneshwar Sharma
Publication year - 2016
Publication title -
international journal of advances in scientific research
Language(s) - English
Resource type - Journals
ISSN - 2395-3616
DOI - 10.7439/ijasr.v2i2.2747
Subject(s) - wavelet , image (mathematics) , image registration , inverse filter , computer science , set (abstract data type) , image processing , filter (signal processing) , relation (database) , image restoration , property (philosophy) , artificial intelligence , computer vision , inverse , domain (mathematical analysis) , pattern recognition (psychology) , mathematics , data mining , mathematical analysis , philosophy , geometry , epistemology , programming language
The implementation of the regularized inverse filter involves the estimation of the power spectrum of the original image in the spatial domain. Since wavelet transforms have good decor relation property, the wavelet coefficients of the image can be better modeled in a stochastic model, and the power spectrum can be better estimated. Registration algorithms compute transformations to set correspondence between the two images the purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods. We believe that it will be a useful document for researchers longing to implement alternative Image registration methods for specific applications.