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Context Adaptive Lossless and Near-Lossless Coding for Digital Angiographies
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007This paper presents a context adaptive coding method for image sequences in hemodynamics. The proposed method implements motion compensation through of a two-stage context adaptive linear predictor. It is robust to the local intensity changes and the noise that often degrades these image sequences, and provides lossless and near-lossless quality.
Rafael A P, dos Santos +1 more
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Semi-lossless text compression
Data Compression Conference, 2004. Proceedings. DCC 2004, 2004A new notion, that of semi-lossless text compression, is introduced, and its applicability in various settings is investigated. First results suggest that it might be hard to exploit the additional redundancy of English texts, but the new methods could be useful in applications where the correct spelling is not important, such as in short emails, and ...
Yair Kaufman, Shmuel T. Klein
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FFV1 and JPEG2000 appeal to archival institutions because of their promise of perfect digital storage without loss and decay. This chapter examines how lossless video standards operate on a technical and material level, paradoxically reaffirming the stubbornly lossy materiality of digital archival media. After a brief conceptual history of losslessness
Jimi Jones, Marek Jancovic
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Jimi Jones, Marek Jancovic
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Near-lossless image authentication transparent to near-lossless coding
SPIE Proceedings, 2004In 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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Context-based lossless and near-lossless compression of EEG signals
IEEE Transactions on Information Technology in Biomedicine, 1999In this paper, we study compression techniques for electroencephalograph (EEG) signals. A variety of lossless compression techniques, including compress, gzip, bzip, shorten, and several predictive coding methods, are investigated and compared. The methods range from simple dictionary-based approaches to more sophisticated context modeling techniques ...
Nasir D. Memon, Xuan Kong, Judit Cinkler
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Lossless/near-lossless color image coding by inverse demosaicing
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014In 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 0003 +4 more
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Lossless and near-lossless compression of ECG signals
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005We present a linear transformation algorithm (LTA), which is based on a new transformation, linear order transformation (LOT). Experimental results show that the LTA yields comparable results to the Burrows-Wheeler algorithm (BWA) and outperforms the Gzip, and shorten waveform coder for near-lossless ECG compression; for lossless ECG compression it ...
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Lossless Reduction of Datacubes
2006Datacubes are specially useful for answering efficiently queries on data warehouses. Nevertheless the amount of generated aggregated data is incomparably more voluminous than the initial data which is itself very large. Recently, research work has addressed the issue of a concise representation of datacubes in order to reduce their size.
Alain Casali +3 more
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Computer Methods and Programs in Biomedicine, 1997
We have studied the lossless encoding of ECG signals. With suitable code we aim to reduce the storage space needed by ECG signals. Several methods designed for ECG compression use lossy, i.e. irreversible techniques, in which the original signal is lost, but the restored approximation is almost equal to the original.
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We have studied the lossless encoding of ECG signals. With suitable code we aim to reduce the storage space needed by ECG signals. Several methods designed for ECG compression use lossy, i.e. irreversible techniques, in which the original signal is lost, but the restored approximation is almost equal to the original.
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Lossless and near-lossless image compression based on multiresolution analysis
IEEE International Conference on Image Processing 2005, 2005Being able to control the quality of the decoded data instead of the compression rate is suitable for applications where quality control is of utmost importance, yet we would like to be as economical as possible with respect to storage and speed of computation.
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