The improved zero tree wavelet coding algorithm is presented in the paper. This algorithm is highly effective and simple for signal compression processing. The wavelet transformation compression algorithm based on the...
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The improved zero tree wavelet coding algorithm is presented in the paper. This algorithm is highly effective and simple for signal compression processing. The wavelet transformation compression algorithm based on the technique is performed for an electrocardiogram signal (ECG) using the MATLAB language. The results are superior to the traditional algorithm used in ECG compression.
This paper describes the implementation of a real-time wavelet-based video codec using a new fast, non-embedded compression scheme closely related to the SPIHT algorithm (Said and Pearlman, 1996). The implementation e...
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This paper describes the implementation of a real-time wavelet-based video codec using a new fast, non-embedded compression scheme closely related to the SPIHT algorithm (Said and Pearlman, 1996). The implementation employs block differencing for inter-frame compression and inter-block run-length encoding for even better live video compression performance. Some implementation issues are also discussed.
A psychovisually-based quantization strategy for wavelet coded images is proposed. The quantization strategy is based on the results of a psychovisual evaluation to quantify sensitivities to supra-threshold distortion...
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ISBN:
(纸本)0780362977
A psychovisually-based quantization strategy for wavelet coded images is proposed. The quantization strategy is based on the results of a psychovisual evaluation to quantify sensitivities to supra-threshold distortion caused by wavelet coefficient quantization in natural images. Quantizer step sizes to produce a minimum noticeable distortion are parameterized in terms of subband standard deviation and a quantization strategy is subsequently proposed. The resulting strategy is applied to both intraband and embedded wavelet coders and reveals a significant perceptual improvement when images exhibit supra-threshold distortion.
Global sharing and distribution of information on the Internet result in a great demand for efficient multi-lingual text compression for Web servers and proxy implementations. Current text compressors such as Huffman ...
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Global sharing and distribution of information on the Internet result in a great demand for efficient multi-lingual text compression for Web servers and proxy implementations. Current text compressors such as Huffman coding, Lempel-Ziv (LZ) variants, and LZ-Huffman cascading fail to perform efficiently because of the mis-matched character sampling size and the large character set of multilingual languages. Our previous research has shown that a better compression ratio can be obtained by re-adjusting the character sampling rate. We investigate the cascading of LZ variants to Huffman coding for multilingual documents. Two basic approaches, static and dynamic dictionaries, are proposed. Techniques for reducing the dictionary overhead are also suggested. Based on our multi-lingual corpus, our adaptive cascading scheme can perform better than the well-known cascading compressor, gzip, by an average of about 20%.
We present a binary hypothesis test to detect moving pixels in an image sequence that requires less computation than previous methods while maintaining a comparable level of performance. We provide a detailed descript...
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ISBN:
(纸本)0780362977
We present a binary hypothesis test to detect moving pixels in an image sequence that requires less computation than previous methods while maintaining a comparable level of performance. We provide a detailed description of the assumptions required to simplify the test and an example that demonstrates its effectiveness.
This paper deals with the design of a VLSI architecture based on the integer wavelet transform (IWT). Firstly some challenging features dealing with IWT are presented, namely optimal factorizations of the wavelet poly...
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This paper deals with the design of a VLSI architecture based on the integer wavelet transform (IWT). Firstly some challenging features dealing with IWT are presented, namely optimal factorizations of the wavelet polyphase matrix and finite precision representation effects. Then a VLSI architecture is proposed for a video rate IWT implementation and some promising complexity estimations are given.
The design flow and implementation of a system-on-chip for the documentation of road accidents is presented. Key features of the system are the implementation, on a programmable architecture, of a compression algorith...
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The design flow and implementation of a system-on-chip for the documentation of road accidents is presented. Key features of the system are the implementation, on a programmable architecture, of a compression algorithm capable of encoding up to 15 black & white QCIF frames/s, and the computation of a digital signature performed every frame which is applied to the encoded bitstream certifying the source of the video sequence. The system has been implemented in 6/spl times/6 mm/sup 2/ on a 0.25 /spl mu/m, 6-metal standard-cell CMOS technology and works at 40 MHz, 2.5 V power supply. The adoption of IP reusable cores has allowed the system to be completed in 1 man-year time from idea to physical implementation.
This paper considers the transmission of speech compressed using the US federal standard 2400 bps compression algorithm. Two different kinds of communication channels are considered - a noisy channel characterized by ...
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This paper considers the transmission of speech compressed using the US federal standard 2400 bps compression algorithm. Two different kinds of communication channels are considered - a noisy channel characterized by fading and additive white Gaussian noise, and an ATM channel subject to cell loss. Two different error control strategies are applied to these two channels. For the noisy channel, standard convolutional codes are employed with a channel decoder "tuned" to exploit the residual redundancy inherent in the compressed bitstream; considerable coding gain is obtained with this approach compared to the standard decoder that does not exploit residual redundancy. For the lossy channel, Reed-Solomon codes are used with erasure decoding to recover lost cells; it is shown that a modest investment in interleaving and redundancy can yield near-noiseless performance even when the channel is subject to cell loss as high as 10-15%.
For speech transmission in digital land mobile telephony, effective compression algorithms have to be used to achieve a high bandwidth efficiency. Furthermore, a variety of adverse transmission effects make it necessa...
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For speech transmission in digital land mobile telephony, effective compression algorithms have to be used to achieve a high bandwidth efficiency. Furthermore, a variety of adverse transmission effects make it necessary to employ powerful error control techniques to keep bit error rates tolerably low and thus to guarantee a high speech duality. Speech compression is designed to remove irrelevancy and redundancy from the speech signal. Yet measuring the statistical properties of speech parameters extracted by practical compression schemes shows that a considerable amount of redundancy still remains, either in terms of non-uniform distribution or due to time-correlation of parameters extracted from subsequent speech segments. In this contribution, we propose a new minimum mean square error (MMSE) decoder for block-oriented trellis codes, that is able to exploit the time-correlation of subsequent parameter sets. The decoder yields non-discrete speech parameter mean square (MS) estimates. Thus it combines two approaches to exploit residual redundancy: source controlled channel decoding (SCCD) (Hagenauer 1995) and soft bit source decoding (SBSD) (Fingscheidt and Vary 1997) in one algorithm.
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