Visual comfort enhancement in stereoscopic 3D images using saliency-adaptive nonlinear disparity mapping |
| |
| Affiliation: | 1. School of Electronic Engineering, Xidian University, Xi’an 710071, China;2. College of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Republic of Korea;1. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), 100876 Beijing, China;2. School of Computer Science, National University of Defense Technology, Changsha, Hunan 410073, China;1. LRIT, CNRST, URAC 29, FSR, Mohammed V University, Rabat, Morocco;2. MIS, University of Picardie Jules Verne, Amiens, France;3. RIITM, ENSIAS, Mohammed V University, Rabat, Morocco;4. Le2i, UMR CNRS 6306 University of Burgundy, Le Creusot, France;1. ENT surgery, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy;2. Neurosurgery, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy;3. Division of Neuroradiology, Departments of Medical Imaging and Surgery, University Health Network—Toronto, Toronto, Ontario, Canada;4. Epidemiology, Hygiene and Public Health, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy |
| |
| Abstract: | Perceptually salient regions have a significant effect on visual comfort in stereoscopic 3D (S3D) images. The conventional method of obtaining saliency maps is linear combination, which often weakens the saliency influence and distorts the original disparity range significantly. In this paper, we propose visual comfort enhancement in S3D images using saliency-adaptive nonlinear disparity mapping. First, we obtain saliency-adaptive disparity maps with visual sensitivity to maintain the disparity-based saliency influence. Then, we perform nonlinear disparity mapping based on a sigmoid function to minimize disparity distortions. Finally, we generate visually comfortable S3D images based on depth-image-based-rendering (DIBR). Experimental results demonstrate that the proposed method successfully improves visual comfort in S3D images by producing comfortable S3D images with high mean opinion score (MOS) while keeping the overall viewing image quality. |
| |
| Keywords: | Stereoscopic 3D (S3D) displays Visual comfort enhancement Saliency-adaptive Salient region Nonlinear disparity mapping Depth-image-based-rendering (DIBR) |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
