Compression Artifacts Reduction for Depth Map by Deep Intensity Guidance
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Advances in Multimedia Information Processing – PCM 2017 |
Subtitle of host publication | 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers |
Editors | Bing Zeng, Qingming Huang, Abdulmotaleb El Saddik, Hongliang Li, Shuqiang Jiang, Xiaopeng Fan |
Publisher | Springer, Cham |
Pages | 863-872 |
Volume | 1 |
ISBN (electronic) | 9783319773803 |
ISBN (print) | 9783319773797 |
Publication status | Published - 2018 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Information Systems and Applications, incl. Internet/Web, and HCI) |
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Publisher | Springer, Cham |
Volume | 10735 |
ISSN (Print) | 0302-9743 |
ISSN (electronic) | 1611-3349 |
Conference
Title | 18th Pacific-Rim Conference on Multimedia, PCM 2017 |
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Place | China |
City | Harbin |
Period | 28 - 29 September 2017 |
Link(s)
Abstract
In this paper, we propose a intensity guided CNN (IG-Net) model, which learns an end-to-end mapping between the intensity image and distorted depth map to the uncompressed depth map. To eliminate the undesired blocking artifacts such as discontinuities around object boundary, two branches are designed to extract the high-frequency information from intensity image and depth map, respectively. Multi-scale feature fusion and enhancement layers are introduced in the main branch to strength the edge information of the restored depth map. Performance evaluation on JPEG compression artifacts shows the effectiveness and superiority of our proposed model compared with state-of-the-art methods.
Research Area(s)
- Compression artifacts, Convolutional neural network, JPEG compression
Citation Format(s)
Compression Artifacts Reduction for Depth Map by Deep Intensity Guidance. / Zhang, Pingping; Wang, Xu; Zhang, Yun et al.
Advances in Multimedia Information Processing – PCM 2017: 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers. ed. / Bing Zeng; Qingming Huang; Abdulmotaleb El Saddik; Hongliang Li; Shuqiang Jiang; Xiaopeng Fan. Vol. 1 Springer, Cham, 2018. p. 863-872 (Lecture Notes in Computer Science (including subseries Information Systems and Applications, incl. Internet/Web, and HCI); Vol. 10735 ).
Advances in Multimedia Information Processing – PCM 2017: 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers. ed. / Bing Zeng; Qingming Huang; Abdulmotaleb El Saddik; Hongliang Li; Shuqiang Jiang; Xiaopeng Fan. Vol. 1 Springer, Cham, 2018. p. 863-872 (Lecture Notes in Computer Science (including subseries Information Systems and Applications, incl. Internet/Web, and HCI); Vol. 10735 ).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review