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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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Near lossless ROI compression for medical images
Optics and Precision Engineering, 2013A near lossless Region of Interest(ROI)compression algorithm based on the shearlet transform was proposed for medical images to improve the Mean Structural SIMilarity(MSSIM) between the original image and the reconstructed image.Firstly,the ROI was designated in a medical image and the rests were regard as the Background(BG).Then,the ROI and BG were ...
蒋慧琴 JIANG Hui-qin +3 more
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Near-lossless image compression: minimum-entropy, constrained-error DPCM
IEEE Transactions on Image Processing, 1998A near-lossless image compression scheme is presented. It is essentially a differential pulse code modulation (DPCM) system with a mechanism incorporated to minimize the entropy of the quantized prediction error sequence. With a "near-lossless" criterion of no more than a d gray-level error for each pixel, where d is a small nonnegative integer ...
Ke, Ligang, Marcellin, Michael W.
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Fast-adaptive near-lossless image compression
Journal of Electronic Imaging, 2016The purpose of image compression is to store or transmit image data efficiently. However, most compression methods emphasize the compression ratio rather than the throughput. We propose an encoding process and rules, and consequently a fast-adaptive near-lossless image compression method (FAIC) with good compression ratio. FAIC is a single-pass method,
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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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