Browsing by Author "Horng, Ying-Rung"

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Stereoscopic Images Generation with Directional Gaussian Filter
(2010)
Horng, Ying-Rung
;
Tseng, Yu-Cheng
;
Chang, Tian-Sheuan
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
The depth-based image rendering (DIBR) uses monoscopic image with its corresponding depth map to generate stereoscopic images for 3DTV. The main difficulty in the DIBR is that holes appear in the stereoscopic images because of the occlusion between objects. However, the previous depth smoothing methods to reduce holes usually destroy the perceived depth quality or the perceived naturalness. This paper proposed a new depth smoothing method to solve these problems by applying a new directional Gaussian filter guided by edge direction in the hole-flag area iteratively. The subjective evaluation results show that our proposed method can generate better stereoscopic images with good perceived depth quality as well as perceived naturalness.
VLSI Architecture for Real-Time HD1080p View Synthesis Engine
(2011-09-01)
Horng, Ying-Rung
;
Tseng, Yu-Cheng
;
Chang, Tian-Sheuan
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
This paper presents a real-time HD1080p view synthesis engine based on the reference algorithm from 3-D video coding team by solving high computational complexity and high memory cost problems. For the computational complexity, we propose the bilinear interpolation to simplify the hole filling process, and the Z scaling method with floating-point format to reduce the cost of homography calculation. For the memory cost, we propose the frame-level pipelining to reduce the requirement of warped depth maps, and the column-order warping method to remove the Z-buffer in occlusion handling. With the 90nm complementary metal-oxide-semiconductor technology, our view synthesis engine can archive the throughput of 32.4 f/s for HD1080p videos with the gate count of 268.5K and the internal memory of 69.4 kbytes. The experimental result shows our implementation has the similar synthesis quality as the original reference algorithm.