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- W2091320478 abstract "This paper describes an efficient compression method for medical images and a high-speed display with a decoding function. An image is divided into blocks first and then whether each block has sharp edges is examined. The discrete-cosine-transform coding (DCT), which is efficient for a part having small gray-level variation, is applied to a block having no sharp edge. The block-truncation coding (BTC) which preserves sharp edges is applied to a block having edges, and then the DCT is applied to their error images. This combined procedure makes a reconstruction of the whole image in a high quality. The display developed by the authors receives the compressed data from a host computer and reconstructs images of good quality at high speed using four pipeline-based microprocessors based on their method. Experimental results show that the image quality of parts without sharp edges is as high as the DCT method; and that of parts with edges is better than the DCT and BTC methods. The whole process, which includes transferring data from the host computer to the display, reconstruction, and display of the data, took less than 5 s for a 1/10 compressed image. This demonstrates an excellent performance of the proposed reconstruction display." @default.
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- W2091320478 title "A compression algorithm for medical images and a display with the decoding function" @default.
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- W2091320478 doi "https://doi.org/10.1002/scj.4690220210" @default.
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