Open Access Open Access  Restricted Access Subscription or Fee Access

Image Quality Measurement by SVD Method and Two-Sample Kolmogorov-Smirnov Test

Peyman Davallo, Ehsan Bahrami Samani

Abstract


Image quality assessment plays a significant role in image processing applications, such as control and enhances the quality of images. Objective image quality assessment attempted to evaluate the visibility of differences between distorted and original images and it is worthwhile, if it is close to human visual system. To this aim, we present a structural information-based image quality assessment algorithm, based on SVD factorization and Two-sample Kolmogorov-Smirnov test. This algorithm uses the SVD decomposition of each reference and distorted images and to make a comparison, it uses Two-sample Kolmogorov-Smirnov test. Some tests were applied to appraise the performance.

Keywords


Image processing Image quality Matrix Algebra Kolmogorov-Smirnov Singular Value Decomposition.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.