Title
Elimination of Matching Digital Images to Identify Objective Measures of Quality
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.
Year
DOI
Venue
2014
10.1109/IIH-MSP.2014.46
IIH-MSP '14 Proceedings of the 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Keywords
Field
DocType
data match, correlation, quality measure
Entry (data),Computer vision,Synchronization,Mistake,Pattern recognition,Computer science,Image quality,Digital image,Artificial intelligence,Digital image processing
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Jakub Peksiński155.58
Grzegorz Mikołajczak255.58
Janusz Pawel Kowalski313.48