ITR/SI(SPS)+AP+SY: High Resolution Video and Still Reconstruction with Applications to Visual Communications and Image Enhancement
ITR/SI(SPS)+AP+SY: High Resolution Video and Still Reconstruction with Applications to Visual Communications and Image Enhancement
批准号:
0113681
负责人:
Yucel Altunbasak
金额:
$21.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-08-15 至 2004-07-31
中文摘要
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英文摘要
ABSTRACTProposal 0113681Altunbasak, YucelGA Tech Res Corp - GITITR/SI(SPS)+AP+SY: High-Resolution High-Precision Video Reconstructionwith Applications to Visual Communications and Image EnhancementThe problem of resolution and bit-depth enhancement from compressed data will become increasingly important for applications in the emerging, error-prone, restricted bandwidth, wireless and heterogeneous computing environments. This research involves enhancing the spatial, temporal and bit-depth resolution of video signals by means of multi-frame and multi-channel processing. The system that is developed as part of this work is applicable to various areas of video communications and multi-media processing.The number of bits assigned to represent the intensity or color information at points in an image is usually referred as the bit depth. When the bit depth is not sufficient, images suffer from ridge-like structures known as false contours. Bit-depth limitations become important when low-contrast details are required, as in medical imaging, aerial/satellite photography, and high-quality scanning applications. Noting the similarity between the bit-depth and spatial resolution enhancement, this research examines a method for increasing the bit depth. Specifically, when a sequence of video frames is available, it is possible to achieve a higher bit depth and higher spatial resolution through a projections-onto-convex-sets (POCS) based data fusion method.The multiple-frame video processing algorithms and their multimedia and communication applications form an integral part of the signal processing education agenda at Georgia Tech. Motivated and encouraged by the level of interest in multi-frame processing (by the students), the project constructs a web-centric demo of image resolution and precision enhancement for the benefit of the undergraduates as well as the research community.
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