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Lossless and near-lossless image compression with color transformations
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002A comparison of lossless compression results is given for RGB, YC/sub R/C/sub B/ and reversible JPEG 2000 color space. The paper describes the general conditions that rounding errors of a color transformation do not cumulate in the consecutive cycles of forward and inverse transformation.
Marek Domanski, Krzysztof Rakowski
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A progressive Lossless/Near-Lossless image compression algorithm
IEEE Signal Processing Letters, 2002A novel image compression technique is presented that incorporates progressive transmission and near-lossless compression in a single framework. Experimental performance of the proposed coder proves to be competitive with the state-of-the-art compression schemes.
Ismail Avcibas +3 more
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Lossless-by-Lossy Coding for Scalable Lossless Image Compression
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008This paper presents a method of scalable lossless image compression by means of lossy coding. A progressive decoding capability and a full decoding for the lossless rendition are equipped with the losslessly encoded bit stream. Embedded coding is applied to large-amplitude coefficients in a wavelet transform domain.
Kazuma Shinoda +2 more
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SPIE Proceedings, 2013
In this paper, we first review the lossless coding mode in the version 1 of the HEVC standard that has recently finalized. We then provide a performance comparison between the lossless coding mode in the HEVC and MPEG-AVC/H.264 standards and show that the HEVC lossless coding has limited coding efficiency.
Wen Gao 0001, Minqiang Jiang, Haoping Yu
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In this paper, we first review the lossless coding mode in the version 1 of the HEVC standard that has recently finalized. We then provide a performance comparison between the lossless coding mode in the HEVC and MPEG-AVC/H.264 standards and show that the HEVC lossless coding has limited coding efficiency.
Wen Gao 0001, Minqiang Jiang, Haoping Yu
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2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
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The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
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The lossless DCT for combined lossy/lossless image coding
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002This paper introduces a modification of the discrete cosine transform (DCT) that produces integer coefficients from which the original image data can be reconstructed losslessly. It describes an embedded coding scheme which incorporates this lossless DCT and presents some experimental rate-distortion curves for this scheme.
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Lossless and near-lossless compression of EEG signals
Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136), 2002In this paper we study compression techniques for electroencephalograph (EEG) signals. A variety of lossless compression techniques, ranging from simple dictionary based approaches to more sophisticated context modeling techniques based on work in lossless image coding are investigated and compared.
J. Cinkler, X. Kong, N. Memon
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On the lossless and J-lossless embedding theorems in H∞
Systems & Control Letters, 1996The connection between the lossless embedding theorem in H∞ [2] used with linear fractional transformation and the J-lossless embedding theorem [3] in H∞ used with homographic transformation is shown in state space in this paper. In particular, it will be shown that the condition P21−1(s)ϵRH∞ which is essential in the former as an approach to the ...
Peng Hin Lee +2 more
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Lossless and Near-Lossless Compression for Mammographic Digital Images
2006 International Conference on Image Processing, 2006In this paper, a method for lossless and near lossless compression of large digital mammograms is proposed. This method is based on a predictive coder that uses integer-to-integer operations, and generates a two-layer embedded bit stream (i.e. near-lossless and refinement layer). The maximum tolerated pixel distortion is guaranteed in the near lossless
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Optics Letters, 1997
A new technique for energy-preserving phase-only light projection is demonstrated. The phase-only encoding is based on an extension of the Zernike phase-contrast method into the domain of full-range [0; 2pi ] phase modulation, breaking the usual small-phase-angle limitation.
J, Glückstad +3 more
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A new technique for energy-preserving phase-only light projection is demonstrated. The phase-only encoding is based on an extension of the Zernike phase-contrast method into the domain of full-range [0; 2pi ] phase modulation, breaking the usual small-phase-angle limitation.
J, Glückstad +3 more
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