2D-to-3D Real Time Video Conversion Algorithm and Architecture on the Basis of HVS
Date Issued
2009
Date
2009
Author(s)
Lin, Jhe-Yi
Abstract
In this thesis, we propose a 2D-to-3D video conversion algorithm and architecture based on HVS. We aim at incorporation of the characteristics of HVS and depth perception of HVS, such as the multi-resolution resulted from different viewing angle and visual distance, and Just-Noticeable Difference (JND).Our proposed system has two main goals：Using linear perspective concept to reproduce background depth map, and create foreground depth map based on the fact that human is more sensitive to moving objects. In order to reach our main goals, we utilize vanishing lines detection and vanishing point detection to extract the linear perspective in the image processed. Moving objects segmentation is done by using Wronskian change detection. Furthermore, we propose a HVS-based preprocessing due to both methods just mentioned are high level processes. The HVS-based preprocessing is composed of two main processes：discrete wavelet transform (DWT) and quadtree segmentation. DWT is used to produce multi-resolution pyramid images, which is used to provide different features we need in the further processes. Quadtree segmentation known as the most simple but powerful process is used as region segmentation. The segmentation result produces a cluster of homogeneous regions. The further processes execute adaptive processing base on the segmentation level.In order to reach the requirement of real-time process, our proposed algorithm is implemented based on the cell-based design flow. Our design is synthesized with the constraint of 54 MHz and the total gate count is about 4.2M gates. The chip is implemented with TSMC 0.13 um technology. The layout result present the core size is 1.572mm x 1.572mm.
Subjects
3D Display technology
2D-to-3D conversion
human visual system
depth reconstruction
video transformation
Type
thesis
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