EFFICIENCY ANALYSIS OF TETROLET TRANSFORM-BASED FILTERING BY REMOVAL OF ADDITIVE NOISE IN IMAGES

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ID: 85442
2017
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Abstract
Efficiency of filtering based on tetrolet transform for test image database with different properties distorted by additive white Gaussian noise with different intensity is investigated. As the performance criteria, both standard metrics, for instance, PSNR and visual quality metrics (PSNR-HVS-M, MSSIM, and FSIM) are used. Effect of test image features on optimal threshold is analyzed. A comparative analysis of the tetrolet transform-based filter with DCT-filter with respect toobject edge preservation and effective denoising is shown
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2017efficiency Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Рубель, Андрей Сергеевич;Лукин, Владимир Васильевич;
Journal Радіоелектронні і комп'ютерні системи
Year 2017
DOI
DOI not found
URL
http://nti.khai.edu/ojs/index.php/reks/article/view/45
Keywords
computer engineering. computer hardware electronic computers. computer science

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