scholarly journals A New Virtual View Rendering Method based on Depth Map for 3DTV3DTV; virtual view rendering; depth; false contour; holes filling; image restoration

2011 ◽  
Vol 15 ◽  
pp. 1115-1119
Author(s):  
Linwei Zhu ◽  
Mei Yu ◽  
Gangyi Jiang ◽  
Xiangying Mao ◽  
Songyin Fu ◽  
...  
Keyword(s):  
Image Restoration ◽  
Depth Map ◽  
Virtual View ◽  
Virtual View Rendering

Depth Map Intra Coding Based on Virtual View Rendering Distortion Estimation

2011 ◽  
Vol 33 (11) ◽  
pp. 2541-2546 ◽  
Author(s):  
Qiu-wen Zhang ◽  
Ping An ◽  
Yan Zhang ◽  
Zhao-yang Zhang
Keyword(s):  
Depth Map ◽  
Intra Coding ◽  
Virtual View ◽  
Distortion Estimation ◽  
Virtual View Rendering

Virtual View Rendering Based on Depth Map Preprocessing and Image Inpainting

2019 ◽  
Vol 31 (8) ◽  
pp. 1278
Author(s):  
Haitao Liang ◽  
Xiaodong Chen ◽  
Huaiyuan Xu ◽  
Siyu Ren ◽  
Yi Wang ◽  
...  
Keyword(s):  
Image Inpainting ◽  
Depth Map ◽  
Virtual View ◽  
Virtual View Rendering

Virtual view rendering with pre-processing of depth map

2011 ◽  
Author(s):  
Linwei Zhu ◽  
Mei Yu ◽  
Ting Luo ◽  
Fucui Li ◽  
Songyin Fu ◽  
...  
Keyword(s):  
Depth Map ◽  
Virtual View ◽  
Virtual View Rendering

scholarly journals Underwater image restoration via depth map and illumination estimation based on single image

2021 ◽  
Author(s):  
Jingchun Zhou ◽  
Tongyu Yang ◽  
Wenqi Ren ◽  
Dan Zhang ◽  
Weishi Zhang
Keyword(s):  
Image Restoration ◽  
Depth Map ◽  
Single Image ◽  
Illumination Estimation ◽  
Underwater Image

Fine Virtual View Distortion Estimation Method for Depth Map Coding

2018 ◽  
Vol 25 (3) ◽  
pp. 417-421 ◽  
Author(s):  
Ziqi Zheng ◽  
Junyan Huo ◽  
Bingbing Li ◽  
Hui Yuan
Keyword(s):  
Estimation Method ◽  
Depth Map ◽  
Virtual View ◽  
Distortion Estimation

scholarly journals Fast Hole Filling for View Synthesis in Free Viewpoint Video

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 906
Author(s):  
Hui-Yu Huang ◽  
Shao-Yu Huang
Keyword(s):  
Median Filter ◽  
Synthesis Method ◽  
Depth Map ◽  
View Synthesis ◽  
Depth Image ◽  
Virtual View Synthesis ◽  
Virtual View ◽  
Recent Emergence ◽  
The World ◽  
3D Content

The recent emergence of three-dimensional (3D) movies and 3D television (TV) indicates an increasing interest in 3D content. Stereoscopic displays have enabled visual experiences to be enhanced, allowing the world to be viewed in 3D. Virtual view synthesis is the key technology to present 3D content, and depth image-based rendering (DIBR) is a classic virtual view synthesis method. With a texture image and its corresponding depth map, a virtual view can be generated using the DIBR technique. The depth and camera parameters are used to project the entire pixel in the image to the 3D world coordinate system. The results in the world coordinates are then reprojected into the virtual view, based on 3D warping. However, these projections will result in cracks (holes). Hence, we herein propose a new method of DIBR for free viewpoint videos to solve the hole problem due to these projection processes. First, the depth map is preprocessed to reduce the number of holes, which does not produce large-scale geometric distortions; subsequently, improved 3D warping projection is performed collectively to create the virtual view. A median filter is used to filter the hole regions in the virtual view, followed by 3D inverse warping blending to remove the holes. Next, brightness adjustment and adaptive image blending are performed. Finally, the synthesized virtual view is obtained using the inpainting method. Experimental results verify that our proposed method can produce a pleasant visibility of the synthetized virtual view, maintain a high peak signal-to-noise ratio (PSNR) value, and efficiently decrease execution time compared with state-of-the-art methods.

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