Results 181 to 190 of about 2,483,627 (230)

Lossless JBIG2 coding performance

Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 1999
Summary form only given. The Joint Bi-Level Expert Group (JBIG), an international study group affiliated with the ISO/IEC and ITU-T, has recently completed a committee draft of the JBIG2 standard for lossy and lossless bi-level image compression. We study design considerations for a purely lossless encoder.
D.A.D. Tompkins, F. Kossentini
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Rounding transform for lossless image coding

Proceedings of 3rd IEEE International Conference on Image Processing, 2002
A new transform, called the rounding transform (RT), is introduced which employs a pair of rounding operations namely, rounding up and rounding down operations. The RT is of interest in pyramid data structured coding for progressive and lossless image transmission, since the total number of data to be transmitted is the same as that of the original ...
null Ho-You Jung, null Tae-Young Choi, R. Prost   +2 more
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Lossless, near-lossless and lossy adaptive coding based on the lossless DCT

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
This report proposes a new coding method, which realizes lossless, near-lossless and lossy coding with a unified single algorithm. The method is based on a lifting-structured lossless DCT, which maps an "integer" input vector to also an "integer" output vector. The proposed method can be used as not only a high performance "lossless" encoder but also a
S. Chokchaitam, M. Iwahashi
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Lossless Image Coding Exploiting Local and Non-local Information via Probability Model Optimization

European Signal Processing Conference, 2019
We previously proposed a lossless image coding method based on examples search and probability model optimization. In this paper, we improve coding efficiency of the method by introducing an adaptive prediction technique.
Kyohei Unno, Yusuke Kameda, I. Matsuda, S. Itoh, S. Naito   +4 more
semanticscholar   +1 more source

Lossless-by-Lossy Coding for Scalable Lossless Image Compression

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008
This 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.
K. SHINODA, H. KIKUCHI, S. MURAMATSU
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Lossless/lossy coding gain to evaluate coding performance of the lossless/lossy wavelet

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
In this report, we propose lossless/lossy coding gain as a new objective criterion to theoretically evaluate lossless and lossy coding performance of the lossless/lossy wavelet (LLW). The proposed lossless/lossy coding gain consists of three parameters: "lossless coding gain", "quantization-lossy coding gain" and "rounding errors".
S. Chokchaitam, M. Iwahashi
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A Lossless Image Coding Method Based on Probability Model Optimization

European Signal Processing Conference, 2018
This paper proposes a novel lossless image coding method which directly estimates a probability distribution of image intensity values on a pel-by-pel basis. In the estimation process, several examples, i.e.
I. Matsuda, Tomokazu Ishikawa, Yusuke Kameda, S. Itoh   +3 more
semanticscholar   +1 more source

Predictive Lossless Audio Coding

2020
This chapter shows an example implementation of an LMS predictive lossless encoder and decoder, using the tools of the previous chapters, and compression tests with audio files.
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Lossless source coding using repeat-accumulate codes

2007 9th International Symposium on Signal Processing and Its Applications, 2007
Design of good repeat-accumulate (RA) codes for data compression has been possible by using extrinsic information transfer (EXIT) charts. EXIT charts could also predict the average compression rate achieved by the RA code. However, for RA source codes the compression rate is a random variable and to the best of our knowledge simulation is the only ...
Javad Haghighat, M. Reza Soleymani, Walaa Hamouda   +2 more
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Lossless region coding schemes

Proceedings DCC '95 Data Compression Conference, 2002
Summary form only given. The use of describing regions as separate entities within an image has been applied within specific fields of image compression for many years. This study hopes to show that the technique, when applied with care, is practical for virtually all image types.
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