Salt & pepper noise impact on image coding based on image splitting

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dc.creatorMilan Karpf
dc.creatorBoris Simak
dc.date2000-06-30
dc.date.accessioned2022-06-16T14:03:36Z
dc.date.available2022-06-16T14:03:36Z
dc.descriptionThe paper deals with the influence of noise and two control parameters on a segmentation method for image coding. Dynamic min_max criterion and variance criterion were used as segmentation control parameters. For the segmentation of images we have used the method of image splitting. The influence of the value of variance and dynamic criterion on the quality of the segmentation coded image is demonstrated. We have evaluated the objective criterion of the quality of the image (peak signal-to-noise ratio) and number of regions in the image for different values of segmentation control parameters and noise density.
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dc.formatapplication/pdf
dc.identifier13354205
dc.identifier25857878
dc.identifier10.26552/com.C.2000.2.16-20
dc.identifierhttps://komunikacie.uniza.sk/artkey/csl-200002-0003_salt-amp-pepper-noise-impact-on-image-coding-based-on-image-splitting.php
dc.identifier.urihttp://drepo.uniza.sk/xmlui/handle/hdluniza/642
dc.languageen
dc.publisherCommunications - Scientific Letters of the University of Zilina
dc.relationhttps://komunikacie.uniza.sk/magno/csl/2000/mn2.php
dc.subjectno keywords
dc.titleSalt & pepper noise impact on image coding based on image splitting
dc.typejournal article

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