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The traditional medical image fusion method based on pixel weighting has the problem how to obtain the deciding weights. Using the complementation of the CT andMRI images, an adaptive weighted method based on local priority is proposed. The local brightness and detail information of the two original images is considered and the local priority of the fused image is employed, the more raw information...
The traditional medical image fusion method based on pixel weighting has the problem how to obtain the deciding weights. Using the complementation of the CT and MRI images, an adaptive weighted method based on local priority is proposed. The local brightness and detail information of the two original images is considered and the local priority of the fused image is employed, the more raw information...
In this paper, a fast lossless compression scheme is presented for the medical image . This scheme consists of two stages. In the first stage, a differential pulse code modulation (DPCM) is used to decorrelate the raw image data, therefore increasing the compressibility of the medical image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual...
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