| dc.contributor.author | TahaBasheer, Taha | |
| dc.contributor.author | Phaklen, Ehkan | |
| dc.contributor.author | Ruzelita, Ngadiran | |
| dc.date.accessioned | 2021-01-07T09:46:12Z | |
| dc.date.available | 2021-01-07T09:46:12Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | MATEC Web of Conferences, vol.140, 2017, 5 pages | en_US |
| dc.identifier.issn | 2261-236X (online) | |
| dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69271 | |
| dc.description | Link to publisher's homepage at https://www.matec-conferences.org/ | en_US |
| dc.description.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 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | EDP Sciences | en_US |
| dc.relation.ispartofseries | 2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017); | |
| dc.subject | JND | en_US |
| dc.subject | Accumulative Lifting Difference (ALD) | en_US |
| dc.subject | Lifting Wavelet Transform (LWT) | en_US |
| dc.subject | PerceptualMapping | en_US |
| dc.title | A new perceptual mapping model using Lifting Wavelet Transform | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1051/matecconf/201714001036 | |
