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HVS-based local analysis of denoising efficiency for DCT-based filters

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Details

Original languageEnglish
Title of host publication2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings
PublisherIEEE
Pages189-192
Number of pages4
ISBN (Print)9789669751928
DOIs
Publication statusPublished - 14 Dec 2015
Publication typeA4 Article in a conference publication
EventInternational Scientific-Practical Conference Problems of Infocommunications Science and Technology -
Duration: 1 Jan 2000 → …

Conference

ConferenceInternational Scientific-Practical Conference Problems of Infocommunications Science and Technology
Period1/01/00 → …

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

  • DCT-based filters, HVS-metrics, image denoising, local analysis

Publication forum classification

Field of science, Statistics Finland