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Lossless color coordinate transform for lossless color image coding

IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242), 2002
This paper proposes a lossless color coordinate transform for lossless color image coding. Lossless color coordinate transforms are used to remove the correlation and to bias the signal energy ratio between the color signal components. In order to form the lossless coding, a ladder network is used.
S. Fukuma, M. Iwahashi, N. Kambayashi
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Lossless Predictive Coding

2009
For typical images, the values of adjacent pixels are highly correlated; that is, a great deal of information about a pixel value can be obtained by inspecting its neighboring pixel values. This property is exploited in predictive coding techniques where an attempt is made to predict the value of a given pixel based on the values of the surrounding ...
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Lossless/near-lossless color image coding by inverse demosaicing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
In this paper, we introduce a novel framework for lossless/near-lossless (LS/NLS) color image coding assisted by an inverse demosaicing. Conventional frameworks are typically based on prediction (and quantization for NLS coding) followed by entropy coding, such as the JPEG-LS for bit rate saving.
Ryo Kuroiwa   +4 more
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Lossless Compression of JPEG Coded Photo Collections

IEEE Transactions on Image Processing, 2016
The explosion of digital photos has posed a significant challenge to photo storage and transmission for both personal devices and cloud platforms. In this paper, we propose a novel lossless compression method to further reduce the size of a set of JPEG coded correlated images without any loss of information.
Wu, Hao   +4 more
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Scalable Lossless Audio Coding

2020
This chapter describes scalable lossless audio coding, based on the Integer-to-Integer MDCT (IntMDCT), which allows an exact conversion between integer signal samples and integer subband values. First it describes the theory and Python implementation of the Integer-to-Integer MDCT, and then it goes on to its use in a lossless encoder and decoder, which
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Near-lossless image authentication transparent to near-lossless coding

SPIE Proceedings, 2004
In this paper attention is paid to the problem of remote-sensing image authentication by relying on a digital watermarking approach. Both transmission and storage is usually cumbersome for remote-sensing imagery and compression is unavoidable to make it feasible.
Roberto Caldelli   +3 more
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Low-complexity lossless image coding

Automatic Control and Computer Sciences, 2014
A new lossless image coding method competitive with the best known image coding techniques in terms of efficiency and complexity is suggested. It is based on adaptive color space transform, adaptive context coding, and improved prediction of pixel values of image color components. Examples of application of the new algorithm to a set of standard images
I. E. Bocharova   +3 more
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HEVC Lossless Coding and Improvements

IEEE Transactions on Circuits and Systems for Video Technology, 2012
The lossless coding mode of the High Efficiency Video Coding (HEVC) main profile that bypasses transform, quantization, and in-loop filters is described. Compared to the HEVC nonlossless coding mode with the smallest quantization parameter value (i.e., 0 for 8-b video and -12 for 10-b video), the HEVC lossless coding mode provides perfect fidelity and ...
Minhua Zhou   +3 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), 2002
This 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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Improved hierarchical lossless video coding

2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014
Lossy video coding can be achieved by using the H.264 Advanced Video Coding. Some methods have been proposed to transform this coder into a lossless one. The hierarchical lossless video coding structure with new intra algorithm prediction was proposed to reach this goal.
D. Ammous, F. Kammoun, N. Masmoudi
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