Results 151 to 160 of about 1,258 (196)

Region-based near-lossless image compression

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
We present a near-lossless technique for the compression of images, which is based on the partitioning of the image into regions of constant intensity. The boundary information associated with the image partition is encoded with the method of the transition points. The compression of the intensities of the regions is based on the usual entropy encoding
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Near lossless image compression system

2012 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, 2012
Image compression has become an important issue in relation to storage and transmission. A very simple and efficient near lossless image compression system is suggested in this paper. In the forward compression algorithm, image pixels are shifted right by the base value.
A. S. Mamatha, Vipula Singh
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Single-rate near lossless compression of animated geometry

Computer-Aided Design, 2009
Representing mesh geometry in local rather than the world coordinate systems is very useful in many 3D animation processing applications. One can investigate the representation of vertex locations relative to a local coordinate frame (LCF) in the compression of dynamic 3D meshes.
Rachida Amjoun, Wolfgang Straßer
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A new error criterion for near-lossless image compression

Proceedings of International Conference on Image Processing, 2002
This paper presents a new criterion for near-lossless image compression and compares it with the more familiar maximum pixel error criterion in terms of compression performance and coded image subjective quality. In this new framework we compress an image in such a way that at each pixel the total error between the original and the coded images over a ...
Nasir D. Memon, Nader Moayeri
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An Efficient Near-lossless Compression Algorithm for Multichannel EEG signals

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021
In many biomedical measurement procedures, it is important to record a huge amount of data, to monitor the state of health of a subject. In such a context, electroencephalograph (EEG) data are one of the most demanding in terms of size and signal behavior. In this paper, we propose a near-lossless compression algorithm for EEG signals able to achieve a
Campobello G., Quercia A., Gugliandolo G., Segreto A., Tatti E., Ghilardi M. F., Crupi G., Quartarone A., Donato N.   +8 more
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Scalable near-lossless video compression based on HEVC

2017 IEEE Visual Communications and Image Processing (VCIP), 2017
Lossless or near-lossless video compression with a certain maximum absolute reconstruction error is required in many professional applications like archiving or medical imaging. However, lossless coding resulting in rather high bit rates and near-lossless coding being traditionally used and especially optimized for still image coding prevents these ...
Andreas Heindel, André Kaup
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Lossless and near-lossless compression of still color images

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
This 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, Tatsuya Fujii, Junji Suzuki   +2 more
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A method for progressive near-lossless image compression

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
In this paper, we propose an algorithm, which allows for embedded coding in L/sub /spl infin// sense, i.e., progressive near-lossless as well as lossless image compression. The method is based on a lossy plus near-lossless refinement layered compression scheme. As a basis for the lossy layer we use the JPEG2000 standard.
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Lossless and near-lossless image compression with color transformations

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
A 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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Optimal subtractive dither for near-lossless compression

Proceedings DCC 2000. Data Compression Conference, 2002
Subtractive dither is a technique which may be used to reduce the occurrence of compression artifacts from near-lossless compression. Standard subtractive dither incurs a cost, however, in the form of an increase in rate and distortion, and by giving the reconstructed signal an overall grainy appearance.
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