In this paper we propose a low complexity algorithm to generate 3D image depth map in good quality based on a single 2D image for stereo applications. Owing to the different characteristics of images, the 2-D images are first classified into three categories and then processed by the proposed low complexity techniques to generate the depth map. With good quality in the generated depth map, we achieve about 90% in complexity reduction using the proposed algorithm, which is beneficial to real-time realization through hardware or software implementation for the stereo applications.
This paper proposes a low complexity multi-view video encoder which includes mode decision and early termination based on B-frame characteristics. According to the statistics of coding mode distribution in different B-frame types, we classify all the coding modes into several classes and propose an early terminated mode decision algorithm that can largely reduce the computing complexity. On the other hand, MVDbased adaptive search range scheme is also included in the proposed encoding strategy. In our experimental results, the encoding time is saved up to 91% -93% but the quality loss is controlled within 0.1 dB PSNR drop.I.
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