The current paper proposes a fast stereo matching algorithm based on a pixel-wise matching strategy that can produce a stable and accurate disparity map. Since the differences between a pair of stereo images are only small and such differences are just caused by horizontal shifts in a certain order, matching using a large window is not required within a given search range. Therefore, the current study adopts a disparity space image(DSI) for efficient pixel-wise matching. In a DSI, each disparity value is derived from the matching path. As such, when the matching path in a DSI innately satisfies the ordering constraint, continuous matching is possible. In addition, since this continuous matching also considers neighbor pixels, it assumes the characteristics of region-based matching, similar to window-based matching, yet with a lower computational load. To avoid the unstable characteristic of the pixel-based matching, we modified the directions in the cost array in the dynamic programming(DP). Experimental results demonstrate that the proposed method can remove almost all disparity noise and produce a good quality disparity map within a very short time.
This paper proposes a new stereo sequence transmission technique using digital watermarking for compatibility with conventional 2D digital TV. We, generally, compress and transmit image sequence using temporal-spatial redundancy between stereo images. It is difficult for users with conventional digital TV to watch the transmitted 3D image sequence because many 3D image compression methods are different. To solve such a problem, in this paper, we perceive the concealment of new information of digital watermarking and conceal information of the other stereo image into three channels of the reference image. The main target of the technique presented is to let the people who have conventional DTV watch stereo movies at the same time. This goal is reached by considering the response of human eyes to color information and by using digital watermarking. To hide right images into left images effectively, bit-change in 3 color channels and disparity estimation according to the value of estimated disparity are performed. The proposed method assigns the displacement information of right image to each channel of YCbCr on DCT domain. Each LSB bit on YCbCr channels is changed according to the bits of disparity information. The performance of the presented methods is confirmed by several computer experiments.