A New Perceptual Mapping Model Using Lifting Wavelet Transform

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 l...

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Bibliographic Details
Published in:MATEC web of conferences 2017-01, Vol.140, p.1036
Main Authors: Taha, TahaBasheer, Ehkan, Phaklen, Ngadiran, Ruzelita
Format: Article
Language:English
Subjects:
Accumulative Lifting Difference (ALD)
Complexity
Data processing
Digital imaging
Hoisting
Internet of Things
JND
Lifting Wavelet Transform (LWT)
Masking
Multimedia
Noise tolerance
PerceptualMapping
Texture mapping
Wavelet transforms
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Summary: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
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201714001036