DocumentCode :
3712534
Title :
HVS-based local analysis of denoising efficiency for DCT-based filters
Author :
Oleksii Rubel;Nikolay Ponomarenko;Vladimir Lukin;Jaakko Astola;Karen Egiazarian
Author_Institution :
Department of signal reception, transmission and processing, National Aerospace University ?KhAI?, Kharkov, Ukraine
fYear :
2015
Firstpage :
189
Lastpage :
192
Abstract :
Images acquired and processed in communication and multimedia systems are often noisy. Thus, pre-filtering is a typical stage to remove noise. At this stage, a special attention has to be paid to image visual quality. This paper analyzes denoising efficiency from the viewpoint of visual quality improvement using metrics that take into account human vision system (HVS). Specific features of the paper consist in, first, considering filters based on discrete cosine transform (DCT) and, second, analyzing the filter performance locally. Such an analysis is possible due to the structure and peculiarities of the metric PSNR-HVS-M. It is shown that a more advanced DCT-based filter BM3D outperforms a simpler (and faster) conventional DCT-based filter in locally active regions, i.e., neighborhoods of edges and small-sized objects. This conclusions allows accelerating BM3D filter and can be used in further improvement of the analyzed denoising techniques.
Keywords :
"Discrete cosine transforms","Noise reduction","Measurement","Visualization","Image edge detection","Filtering"
Publisher :
ieee
Conference_Titel :
Problems of Infocommunications Science and Technology (PIC S&T), 2015 Second International Scientific-Practical Conference
Type :
conf
DOI :
10.1109/INFOCOMMST.2015.7357309
Filename :
7357309
Link To Document :
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