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Lossless interframe compression of medical images
Data Compression Conference, 1992., 2003A sequence of medical images is converted to a 4-dimensional volume of bits using gray code. Then an interframe sequential and intraframe interlacing prediction scheme is used for reversible image sequence compression. Higher compression ratios than the current intraframe compression methods are achieved due to interframe decorrelation. >
Xiaolin Wu, Yonggang Fang
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Near-lossless compression of medical images
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002This paper studies the characteristic properties of a specific class of near-lossless image compression schemes which consists of a lossless coder followed by a uniform scalar quantizer. Three specific instances of such schemes are investigated; namely, differential pulse code modulation, hierarchical interpolation, and two-dimensional space-varying ...
Manohar Das, David L. Neuhoff, C. L. Lin
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Image compression for medical imaging systems
Journal of Medical Systems, 1987The physical size of typical digital images, in terms of the number of bytes of data one image contains, is large; e.g., a 1024 X 1024 image with 8 bits of data per pixel contains a megabyte of data. To transmit many such images over a network, sometimes over low-capacity phone lines to remote sites, or to store large numbers of images over a long ...
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A novel approach to medical image compression
International Journal of Bioinformatics Research and Applications, 2006As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, largely for legal reasons, and has instead relied on lossless compression techniques that yield low ...
Matthew J. Zukoski +2 more
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Lossless compression of medical images
[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium, 2002Lossless compression of magnetic resonance images is reviewed using both the theoretical and implementation models. The compression level of selected algorithms (Lempel-Ziv and Huffman) are compared against the first-order, second-order, and conditional entropies.
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An Efficient Medical Image Compression Scheme
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005In 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.
Xiaofeng, Li, Yi, Shen, Jiachen, Ma
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Absolutely Lossless Compression Of Medical Images
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Data in medical images is very large and therefore for storage and/or transmission of these images, compression is essential. A method is proposed which provides high compression ratios for radiographic images with no loss of diagnostic quality. In the approach an image is first compressed at a high compression ratio but with loss, and the error image ...
Robina, Ashraf, Muhammad, Akbar
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Medical images compression by neural networks
3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the, 2004This paper presents a compression method for still images, based on Kohonen's neural network. To avoid the edge degradation caused by high compression ratio, the blocks are classified into two classes : blocks with high activity (edge blocks) and blocs with low activity. The image is divided first into blocks of 16 pixels.
Zakaria Benahmed Daho +2 more
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Progressive Medical Image Transmission and Compression
IEEE Signal Processing Letters, 2004Digital radiology places very high demands on the networking and digital storage infrastructure of hospitals. In addition to having quite stringent requirements on the quality of the images displayed to the radiologist, much of the technical challenge resides in the necessity of displaying desired images as rapidly as possible.
Reza Sham Dilmaghani +3 more
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Morphological skeletonization for medical image compression
[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 2003The authors introduce a lossless data compression technique based on the morphological skeleton representation. Mathematical morphology is a methodology for image analysis which provides a means for describing the geometrical structure of an image quantitatively.
Tun-Wen Pai, John H. L. Hansen
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