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Interconnection of -lossless behaviours [PDF]
Systems and Control Letters, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shodhan Rao
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Lossless, near-lossless, and refinement coding of bilevel images
IEEE Transactions on Image Processing, 1999 We present general and unified algorithms for lossy/lossless coding of bilevel images. The compression is realized by applying arithmetic coding to conditional probabilities. As in the current JBIG standard the conditioning may be specified by a template. For better compression, the more general free tree may be used.
Bo Martins, Søren Forchhammer
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International Journal of Computer Mathematics, 2001 There is a well-known algorithm for determining when a decomposition of a database relation scheme has a lossless join with respect to a set of functional dependencies. We first present a reformulation of this algorithm in terms of set closures. For the special case of m=2, there is a well-known explicit condition for losslessness.
Prakash Ramanan
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On lossless negative imaginary systems
Automatica, 2012 The paper is concerned with the notion of lossless negative imaginary systems and their stabilization using strictly negative imaginary controllers through positive feedback.
Junlin Xiong +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), 2003This 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
Somchart Chokchaitam, Masahiro Iwahashi
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A Lossless-by-Lossy Approach to Lossless Image Compression
2006 International Conference on Image Processing, 2006This paper proposes a method of lossless image coding by the aid of lossy image coding. It aims at an improvement in the compression efficiency. We apply a kind of embedded coding to large coefficients in magnitude in a wavelet transform domain. The other wavelet coefficients are encoded by a context-based entropy coding.
Kazuma Shinoda +2 more
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2002
If the only information we have on a certain database is through a set of views, the question arises of whether this is sufficient to answer completely a given query. We say that the set of views is lossless with respect to the query, if, no matter what the database is, we can answer the query by solely relying on the content of the views. The question
DIEGO CALVANESE +3 more
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If the only information we have on a certain database is through a set of views, the question arises of whether this is sufficient to answer completely a given query. We say that the set of views is lossless with respect to the query, if, no matter what the database is, we can answer the query by solely relying on the content of the views. The question
DIEGO CALVANESE +3 more
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Sentiment Lossless Summarization
Knowledge-Based Systems, 2021Abstract The aim of automatic text summarization (ATS) is to extract representative texts from documents and keep major points of the extracted texts consistent with the original documents. However, most existing studies ignore sentimental information loss in the summarization process, which leads to sentiment loss summarization.
Xiaodong Li 0007 +4 more
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Lossless and near-lossless compression of still color images
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003This paper proposes a unified coding algorithm for lossless and near-lossless color image compression that exploits the correlations between RGB signals. For lossless coding, a reversible color transform is proposed that removes the correlations between RGB signals while avoiding any finite word length limitation.
Takayuki Nakachi +2 more
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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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