A new perceptual mapping model using Lifting Wavelet Transform

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69271

Title:	A new perceptual mapping model using Lifting Wavelet Transform
Authors:	TahaBasheer, Taha Phaklen, Ehkan Ruzelita, Ngadiran
Keywords:	JND Accumulative Lifting Difference (ALD) Lifting Wavelet Transform (LWT) PerceptualMapping
Issue Date:	2017
Publisher:	EDP Sciences
Citation:	MATEC Web of Conferences, vol.140, 2017, 5 pages
Series/Report no.:	2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017);
Abstract:	Perceptual mappingapproaches have been widely used in visual information processing in multimedia and internet of things (IOT) applications. Accumulative Lifting Difference (ALD) is proposed in this paper as texture mapping model based on low-complexity lifting wavelet transform, and combined with luminance masking for creating an efficient perceptual mapping model to estimate Just Noticeable Distortion (JND) in digital images. In addition to low complexity operations, experiments results show that the proposed modelcan tolerate much more JND noise than models proposed before
Description:	Link to publisher's homepage at https://www.matec-conferences.org/
URI:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69271
ISSN:	2261-236X (online)
Appears in Collections:	Phaklen Ehkan, Assoc. Prof. Dr. School of Computer and Communication Engineering (Articles)

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