Abstract | ||
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The article presents a problem of impact of digital images' synchronization on readings of objective measures used to assess digital image quality. The authors propose a method of unifying results to ensure correlation of an objective assessment method with subjective ratings. The proposed algorithm is based on the Normalized Mean Square Error analysis (NMSE). The algorithm proposed in the article may be also used in other issues related to digital image processing. |
Year | DOI | Venue |
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2012 | 10.1109/TSP.2012.6256389 | Telecommunications and Signal Processing |
Keywords | Field | DocType |
image processing,mean square error methods,synchronisation,2D digital image synchronization,NMSE measure,digital image processing,digital image quality,normalized mean square error analysis,objective assessment,objective measures,subjective ratings,Digital images,input data,normalized mean square error | Computer vision,Synchronization,Algorithm design,Computer science,Image quality,Image processing,Digital image,Correlation,Artificial intelligence,Digital image processing,Normalized mean square error | Conference |
ISBN | Citations | PageRank |
978-1-4673-1117-5 | 0 | 0.34 |
References | Authors | |
2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jakub Peksiński | 1 | 5 | 5.58 |
Grzegorz Mikołajczak | 2 | 5 | 5.58 |
Janusz Pawel Kowalski | 3 | 1 | 3.48 |