Video compression of coronary angiograms based on discrete wavelet transform with block classification

Brace K.T. Ho*, Min-Jen Tsai, Jun Wei, Marco Ma, Pongskorn Saipetch

*此作品的通信作者

研究成果: Article同行評審

19 引文 斯高帕斯(Scopus)

摘要

A new method of video compression for angiographie images has been developed to achieve high compression ratio (~20:1) while eliminating hlock artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group's (MPEG's) motion compensated prediction to takes advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, we developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.

原文English
頁(從 - 到)814-823
頁數10
期刊IEEE Transactions on Medical Imaging
15
發行號6
DOIs
出版狀態Published - 1 12月 1996

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