Elimination of Matching Digital Images to Identify Objective Measures of Quality

Author

Peksinski, Jakub ; Mikolajczak, Grzegorz ; Kowalski, Janusz Pawel

Author_Institution

Fac. of Electr. Eng., West Pomeranian Univ. of Technol., Szczecin, Poland

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

159

Lastpage

162

Abstract

The aim of the article is presenting what kind of influence an appropriate preparation of entry data in digital image processing has got upon the final results. The authors have presented it on the basis of lack of synchronization between entry data and its influence on the quality criterion Universal Image Quality Index "Q". In the article an algorithm based on correlation has been proposed. Its function is to eliminate the lack of synchronization between entry images in such a way so that the final result is burdened by the smallest possible mistake, resulting from lack of adequate fitting.

Keywords

correlation methods; image matching; learning (artificial intelligence); neural nets; synchronisation; correlation-based algorithm; digital image matching; digital image processing; entry data; neuron network learning; objective measures of quality identification; quality criterion; synchronization; universal image quality index; Correlation; Image quality; Indexes; Manganese; Mean square error methods; Signal processing algorithms; Synchronization; correlation; data match; quality measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on

Conference_Location

Kitakyushu

Print_ISBN

978-1-4799-5389-9

Type

conf

DOI

10.1109/IIH-MSP.2014.46

Filename

6998292