publication . Article . 2017

A New Perceptual Mapping Model Using Lifting Wavelet Transform

TahaBasheer Taha; Phaklen Ehkan; Ruzelita Ngadiran;
Open Access English
  • Published: 01 Jan 2017 Journal: MATEC Web of Conferences (issn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
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
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: JND, Accumulative Lifting Difference (ALD), Lifting Wavelet Transform (LWT), PerceptualMapping, Engineering (General). Civil engineering (General), TA1-2040, Perception, media_common.quotation_subject, media_common, Texture mapping, Luminance, Digital image, Computer vision, Wavelet transform, Masking (art), Perceptual mapping, Artificial intelligence, business.industry, business, Computer science, Internet of Things
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