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Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression
IEEE Transactions on Pattern Analysis and Machine IntelligenceLossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research.
Yuanchao Bai +2 more
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Near-Lossless Compression of Hyperspectral Images
2006 International Conference on Image Processing, 2006Research Supported By National Science Foundation Grant Number Ccr-0104800. Richard Ladner was supported in part by the Boeing Professor-ship in Computer Science and Engineering. Contact Information: Professor Agnieszka Miguel, Department of Electrical & Computer Engineering Seattle University, 901 12th Avenue, P.O. Box 222000, Seattle, WA 98122-1090, (
Agnieszka C. Miguel +4 more
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Hypergraphs for Near-lossless Volumetric Compression
Fourth International Conference on Information Technology (ITNG'07), 2007A hypergraphs-based image representation is already used for 2D lossless image compression. In this paper we extend this hypergraph representation on 3D-image and we add an alpha-tolerance. This extended representation conducts to a generalisation of the HLC lossless compression algorithm (A. Bretto and and L.
Luc Gillibert, Alain Bretto
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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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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 Mass Spectra for Proteomics
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Recent improvements in mass spectrometry (MS) technology led to an explosive amount of MS data collected and shared. A typical liquid chromatography/mass spectrometry (LC/MS) "image" from the instrument used in this study consists of 4 GB of data.
Agnieszka C. Miguel +5 more
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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 0003
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Near‐lossless compression methods for spectral images
Color Research & Application, 2011AbstractIn this work, several near‐lossless compression methods for spectral images have been analyzed and compared. These methods are based both on the principal component analysis (PCA) and on the choice of a minimum number of spectral points, selected following different criteria.
CIPRIAN, Roberta, Carbucicchio, M.
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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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