| Issue |
MATEC Web Conf.
Volume 140, 2017
2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017)
|
|
|---|---|---|
| Article Number | 01036 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201714001036 | |
| Published online | 11 December 2017 | |
A New Perceptual Mapping Model Using Lifting Wavelet Transform
School of Computer and Communication Engineering, University Malaysia Perlis (UniMAP), Perlis, Malaysia
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
Key words: JND / Accumulative Lifting Difference (ALD) / Lifting Wavelet Transform (LWT) / PerceptualMapping
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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