Depth image based rendering with advanced texture synthesis

Multi-view video can provide users with three-dimen-sional (3-D) and virtual reality perception through multiple viewing angles. In recent years, depth image-based rendering (DIBR) has been generally used to synthesize virtual view images in free viewpoint television (FTV) and 3-D video. To conceal the zero-region more accurately and improve the quality of a virtual view synthesized frame, an integrated hole-filling algorithm for view synthesis is proposed in this paper. The proposed algorithm contains five parts: an algorithm for distinguishing different regions, foreground and background boundary detection, texture image isophotes detection, a textural and structural isophote prediction algorithm, and an in-painting algorithm with gradient priority order. Based on the texture isophote prediction with a geometrical principle and the in-painting algorithm with a gradient priority order, the boundary information of the foreground is considerably clearer and the texture information in the zero-region can be concealed much more accurately than in previous works. The vision quality mainly depends on the distortion of the structural information. Experimental results indicate that the proposed algorithm improves not only the objective quality of the virtual image, but also its subjective quality considerably; human vision is also clearly improved based on the subjective results. In particular, the algorithm ensures the boundary contours of the foreground objects and the textural and structural information.

image-based rendering with advanced texture synthesis for 3-D video.

Depth Image-Based Rendering With Advanced Texture Synthesis for 3-D Video

rendering with advanced texture synthesis for 3D video

Multi-view video can provide users with three-dimen-sional (3-D) and virtual reality perception through multiple viewing angles. In recent years, depth image-based rendering (DIBR) has been generally used to synthesize virtual view images in free viewpoint television (FTV) and 3-D video. To conceal the zero-region more accurately and improve the quality of a virtual view synthesized frame, an integrated hole-filling algorithm for view synthesis is proposed in this paper. The proposed algorithm contains five parts: an algorithm for distinguishing different regions, foreground and background boundary detection, texture image isophotes detection, a textural and structural isophote prediction algorithm, and an in-painting algorithm with gradient priority order. Based on the texture isophote prediction with a geometrical principle and the in-painting algorithm with a gradient priority order, the boundary information of the foreground is considerably clearer and the texture information in the zero-region can be concealed much more accurately than in previous works. The vision quality mainly depends on the distortion of the structural information. Experimental results indicate that the proposed algorithm improves not only the objective quality of the virtual image, but also its subjective quality considerably; human vision is also clearly improved based on the subjective results. In particular, the algorithm ensures the boundary contours of the foreground objects and the textural and structural information.

30/09/2017 · Abstract

In free viewpoint television or 3D video, depth image based ren-dering (DIBR) is used to generate virtual views based on a textured image and its associated depth information. In doing so, image regions which are occluded in the original view may become visi-ble in the virtual image. One of the main challenges in DIBR is to extrapolate known textures into the disoccluded area without in-serting subjective annoyance. In this paper, a new hole filling approach for DIBR using texture synthesis is presented. Initially, the depth map in the virtual view is filled at disoccluded locations. Then, in the textured image, holes of limited spatial extent are closed by solving Laplace equations. Larger disoccluded regions are initialized via median filtering and subsequently refined by patch-based texture synthesis. Experimental results show that the proposed approach provides improved rendering results in compar-ison to the latest MPEG view synthesis reference software (VSRS) version 3.6 [1].

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Development and optimization of Depth Image-Based Rendering with Advanced Texture Synthesis ..

3D video, depth image based rendering ..

Depth Image-Based Rendering With Advanced Texture Synthesis for 3-D Video. A depth image-based rendering (DIBR) approach with advanced inpainting methods is …

Depth Image Based rendering with ..

15/08/2012 · Abstract. Depth-image-based depth rendering (DIBR) technique is recognized as a promising tool for supporting advanced 3D video …

of the Depth Image Based Rendering ..