Improved sub-band JND model with textural decomposition and its application in perceptual image coding
In order to improve the accuracy of the just noticeable difference (JND) model in transform domain, an en-hanced JND model with a new method for contrast masking factor estimation was proposed. The image was decomposed and the textural image was used for an accurate block classification, thus the ac...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2014-06-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.024/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539726810546176 |
|---|---|
| author | Ming-kui ZHENG Kai-xiong SU Wei-xing WANG Cheng-dong LAN Xiu-zhi YANG |
| author_facet | Ming-kui ZHENG Kai-xiong SU Wei-xing WANG Cheng-dong LAN Xiu-zhi YANG |
| author_sort | Ming-kui ZHENG |
| collection | DOAJ |
| description | In order to improve the accuracy of the just noticeable difference (JND) model in transform domain, an en-hanced JND model with a new method for contrast masking factor estimation was proposed. The image was decomposed and the textural image was used for an accurate block classification, thus the accurate JND in DCT domain was obtained. The improved JND model was applied on the perceptual image coding. Considering the compatibility and the auxiliary information which would affect the encoding efficiency, the JND model was adjusted to the quantization process and re-moved more visual redundancy. Experimental results show that the proposed algorithm can improve the JND threshold;compared with JPEG standard, the perceptual coding method can save more bit rate and does not need extra bit for auxil-iary information at the similar visual quality. The proposed algorithm is also applicable to the perceptual video coding. |
| format | Article |
| id | doaj-art-4d3b9c9860da4278bfa3c6aa3c7b126c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4d3b9c9860da4278bfa3c6aa3c7b126c2025-01-14T06:43:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-06-013518519159682395Improved sub-band JND model with textural decomposition and its application in perceptual image codingMing-kui ZHENGKai-xiong SUWei-xing WANGCheng-dong LANXiu-zhi YANGIn order to improve the accuracy of the just noticeable difference (JND) model in transform domain, an en-hanced JND model with a new method for contrast masking factor estimation was proposed. The image was decomposed and the textural image was used for an accurate block classification, thus the accurate JND in DCT domain was obtained. The improved JND model was applied on the perceptual image coding. Considering the compatibility and the auxiliary information which would affect the encoding efficiency, the JND model was adjusted to the quantization process and re-moved more visual redundancy. Experimental results show that the proposed algorithm can improve the JND threshold;compared with JPEG standard, the perceptual coding method can save more bit rate and does not need extra bit for auxil-iary information at the similar visual quality. The proposed algorithm is also applicable to the perceptual video coding.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.024/visual perceptionjust noticeable difference(JND)textural decompositionimage coding |
| spellingShingle | Ming-kui ZHENG Kai-xiong SU Wei-xing WANG Cheng-dong LAN Xiu-zhi YANG Improved sub-band JND model with textural decomposition and its application in perceptual image coding Tongxin xuebao visual perception just noticeable difference(JND) textural decomposition image coding |
| title | Improved sub-band JND model with textural decomposition and its application in perceptual image coding |
| title_full | Improved sub-band JND model with textural decomposition and its application in perceptual image coding |
| title_fullStr | Improved sub-band JND model with textural decomposition and its application in perceptual image coding |
| title_full_unstemmed | Improved sub-band JND model with textural decomposition and its application in perceptual image coding |
| title_short | Improved sub-band JND model with textural decomposition and its application in perceptual image coding |
| title_sort | improved sub band jnd model with textural decomposition and its application in perceptual image coding |
| topic | visual perception just noticeable difference(JND) textural decomposition image coding |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.06.024/ |
| work_keys_str_mv | AT mingkuizheng improvedsubbandjndmodelwithtexturaldecompositionanditsapplicationinperceptualimagecoding AT kaixiongsu improvedsubbandjndmodelwithtexturaldecompositionanditsapplicationinperceptualimagecoding AT weixingwang improvedsubbandjndmodelwithtexturaldecompositionanditsapplicationinperceptualimagecoding AT chengdonglan improvedsubbandjndmodelwithtexturaldecompositionanditsapplicationinperceptualimagecoding AT xiuzhiyang improvedsubbandjndmodelwithtexturaldecompositionanditsapplicationinperceptualimagecoding |