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NEAR-LOSSLESS COMPRESSION OF REMOTE-SENSING DATA
2003This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which ...
Bruno Aiazzi +3 more
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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 ...
M. Das, D.L. Neuhoff, C.L. Lin
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Near-lossless compression of 3-D optical data
IEEE Transactions on Geoscience and Remote Sensing, 2001In this work, near-lossless compression yielding strictly bounded reconstruction error is proposed for high-quality compression of remote sensing images. A classified causal DPCM scheme is presented for optical data, either multi/hyperspectral three-dimensional (3-D) or panchromatic two-dimensional (2-D) observations. It is based on a classified linear-
Bruno Aiazzi +2 more
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A Novel Near Lossless Image Compression Method
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019A novel near lossless image compression method is proposed in this paper. In the proposed method, a redundant representation of the image is firstly obtained by pixel level shifting and then partitioned into image blocks with the same size. Next, the image blocks are classified into smooth image blocks and non-smooth image blocks.
Fulin Li, Shaohua Hong, Lin Wang
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Near-lossless compression of coherent image data
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002Near-lossless compression yielding strictly bounded reconstruction error, is extended to preserved the radiometric resolution of data produced by coherent imaging systems. A noncausal DPCM, based on the Rational Laplacian Pyramid (RLP), recently introduced by the authors for despeckling, is adjusted to this purpose. The baseband icon of the RLP is DPCM
Bruno Aiazzi +2 more
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Near-lossless compression of large alphabet sources
2012 46th Annual Conference on Information Sciences and Systems (CISS), 2012We study universal compression of independent and identically distributed sources over large alphabets using fixed-rate codes. To model large alphabets, we use sequences of discrete alphabets that increase in size with the blocklength. We show that universal compression is possible using deterministic codes provided that the alphabet growth is sub ...
Benjamin G. Kelly, Aaron B. Wagner
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Application of Discrete Atomic Compression to Near Lossless Image Compression
2020 IEEE Ukrainian Microwave Week (UkrMW), 2020In this paper, we consider discrete atomic compression (DAC), which is lossy image compression algorithm based on atomic functions. One of its key features is a possibility to provide a desired loss of quality measured by maximum absolute deviation (MAD).
Viktor Makarichev +2 more
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A New Near-Lossless Image Compression Algorithm
2007 2nd IEEE Conference on Industrial Electronics and Applications, 2007This paper proposes a new near-lossless image compression algorithm, namely empirical data decomposition (EDD), which can carry on adaptive analysis to the observation data. The algorithm suits to analyze non-stationary data and can effectively remove the relevance between of observation data.
Wu Xiaoqin +3 more
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Region-based near-lossless image compression
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002We present a near-lossless technique for the compression of images, which is based on the partitioning of the image into regions of constant intensity. The boundary information associated with the image partition is encoded with the method of the transition points. The compression of the intensities of the regions is based on the usual entropy encoding
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Near-Lossless 3D-image Compression Using Hypergraphs
Data Compression Conference (DCC'06), 2006Summary form only given. We extend the hyper graph-based image representation to SD-images. This extended representation conducts to a generalisation of the HLC lossless compression algorithm for near-lossless 3D-image compression: HNLC.
L. Gillibert, A. Bretto
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