An Efficient Low Complexity Lossless Coding Algorithm for Medical Images
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In this paper we propose a new algorithm for lossless compression of remote sensing images, based on distributed source coding. The objective of this algorithm is to achieve low-complexity encoding, with compression performance as close as possible to a full-complexity coder. The
Lossless compression schemes with secure transmission play a key role in telemedicine applications that helps in accurate diagnosis and research. Traditional cryptographic algorithms for data security are not fast enough to process vast amount of data. Hence a novel Secured lossl
of 1996 Data Compression Conference, 1996, p. 436. [22] C. S. Barreto and G. V. Mendonca, “Enhanced zerotree wavelet transform image coding exploiting similarities inside subbands,” in Proc. of International Conference on Image Processing, 1996, vol. 2, pp. 549–551. [23] X. Wu an
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Research on real-time health systems have received great attention during recent years and the needs of high-quality personal multichannel medical signal compression for personal medical product applications are increasing. The international MPEG-4 audio lossless coding (ALS) sta