Abstract
Three-dimensional television (3D-TV) is the trend of television development in the future and there are many researches focus on 3D-TV. We believe that three-dimensional (or stereoscopic) television (3D-TV) will replace high-definition television (HD-TV). Recently, an advanced 3D-TV system has been brought up on the new technology called Depth Image-Based Rendering (DIBR), which is also called 2D-plus-depth. This representation is generally considered to be more efficient for coding, storage, transmission and rendering than traditional 3D video representation which is transmitting left image and right image to receiver. There are many approaches to 3D depth recovery and the approaches of 3D depth recovery can be divided into depth from focus (DFF) and Depth from defocus (DFD) for focus cue. We choose spatial domain transform method (STM) [13] to estimate the depth information of different defocused images because STM is more simple and direct than other methods. We use Verilog HDL to develop the hardware architecture of the STM algorithm and implement the prototype on Xilinx FPGA board. About acquiring images, the different defocused images were recorded by applying different voltage to Liquid-Crystal Lens camera. Then we estimate depth map from blur degree of images by using STM algorithm. And we use three dimensional display to watch the experiment results.