We propose VLSI architectures for implementing tree-structured image coding algorithms. A simple data partitioning and mapping technique is used for each processor to have a balanced work load and to work independentl...
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We propose VLSI architectures for implementing tree-structured image coding algorithms. A simple data partitioning and mapping technique is used for each processor to have a balanced work load and to work independently of each other. This technique leads to a simple memory access and processor architecture. The proposed parallel architecture has a high throughput rate and is area efficient. It can also be used to realize low-power designs.
We have found the entropy of digital sources for the typical adaptive pulse code modulation systems and showed that entropy coding provides some gain in comparison with enumeration coding.
We have found the entropy of digital sources for the typical adaptive pulse code modulation systems and showed that entropy coding provides some gain in comparison with enumeration coding.< >
The lossless compression of electroencephalographic (EEG) data is of great interest to the biomedical research community. In this paper, a two-stage technique of lossless compression involving decorrelating the sample...
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The lossless compression of electroencephalographic (EEG) data is of great interest to the biomedical research community. In this paper, a two-stage technique of lossless compression involving decorrelating the sample points of the EEG signal and then entropy coding the resulting signal is examined. Two alternatives are presented for performing the first task. Specifically, the first stage consists either of a fixed coefficient filter or a recursive least squares lattice filter. The second stage employs arithmetic coding to perform the task of entropy coding the data. In the decompression stage, exact inverse filters are applied to achieve lossless compression. Simulations demonstrate the feasibility of this method for lossless EEG data compression.
In MPEG, the image sequence compression is achieved by motion compensation, transformation, quantization and entropy coding. In this paper, we follow the same path by using wavelet based modules in the coding chain. T...
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ISBN:
(纸本)0780333365
In MPEG, the image sequence compression is achieved by motion compensation, transformation, quantization and entropy coding. In this paper, we follow the same path by using wavelet based modules in the coding chain. The prediction error signal is obtained by using variable block size motion compensation (VBSMC). Great attention has been paid to smooth the motion vector field, which helps to increase the coding efficiency. After VBSMC, discrete wavelet transform (DWT) is then applied to the prediction error signal to obtain wavelet coefficients. Some new schemes are introduced. First, a new and effective hybrid coder using quadtree and lattice vector quantization (QTLVQ) is introduced, which can efficiently code the wavelet coefficients of the motion compensated prediction error signal. Second, a new rate allocation scheme different from traditional ones is introduced, which can flexibly control the coder's output rate and the duality of reconstructed video signal.
In this paper, we propose an image compression method associating a wavelet packet and a zerotree coding scheme. The wavelet packet is employed to reduce the correlation of the image pixels. To encode the coefficients...
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In this paper, we propose an image compression method associating a wavelet packet and a zerotree coding scheme. The wavelet packet is employed to reduce the correlation of the image pixels. To encode the coefficients, we apply the zerotree structure which can reduce the correlation across the decomposed component images. In this case, the decomposition criterion for each decomposition level is computed by simplified local zerotree structure. If a target bit rate or distortion is given, we can obtain the most suitable decompositions using the least computational operation. In the simulation, it is shown that the proposed method has a better coding efficiency than the JPEG case of about 3 dB and the octave decomposition case of about 1 dB in PSNR at 0.4 bpp with the standard image "Barbara".
Although subband and wavelet coding have been proved to be very efficient for lossy image compression, it is generally not possible to represent the output of most subband/wavelet filters by a limited number of bits a...
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ISBN:
(纸本)0780332598
Although subband and wavelet coding have been proved to be very efficient for lossy image compression, it is generally not possible to represent the output of most subband/wavelet filters by a limited number of bits and yet guarantee perfect reconstruction. This is a fundamental problem when applying subband and wavelet coding to lossless image compression. This paper presents a solution to this problem by an investigation of interpolative subband coding. Based on an evaluation of the decorrelation performance of some typical image interpolation techniques, a new interpolative coding algorithm has been proposed. The new algorithm has been shown to be superior to two related algorithms, the hierarchical interpolation algorithm and the recently published minimum entropy pyramid algorithm.
This is a description of an architecture for video compression based on the MPEG2 (MP@ML) standard. The chip set is comprised of 3 different devices. The architecture is scalable, and real-time MPEG2 systems could be ...
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This is a description of an architecture for video compression based on the MPEG2 (MP@ML) standard. The chip set is comprised of 3 different devices. The architecture is scalable, and real-time MPEG2 systems could be built with one, two or all three chip solutions. The encoder includes an on-chip processor for programming options, and provides direct connections to external DRAM and SRAM.
We consider the problem of reducing the peak distortion of transform/wavelet compression schemes. A new coding scheme called transient DPCM (T-DPCM) is developed. It is shown that T-DPCM has the same asymptotic (in ra...
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We consider the problem of reducing the peak distortion of transform/wavelet compression schemes. A new coding scheme called transient DPCM (T-DPCM) is developed. It is shown that T-DPCM has the same asymptotic (in rate) mean squared-error (MSE) performance as the transform or wavelet compression system it is derived from (for an appropriate model). Further, it is shown that T-DPCM has significantly smaller peak distortion than the corresponding transform/wavelet coder. Results are provided for synthetic source models and for the image 'Lena'.
This paper examines the use of arithmetic coding in conjunction with the error resilient entropy code (EREC). The constraints on the coding model are discussed and simulation results are presented and compared to thos...
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This paper examines the use of arithmetic coding in conjunction with the error resilient entropy code (EREC). The constraints on the coding model are discussed and simulation results are presented and compared to those obtained using Huffman coding. These results show that without the EREC, arithmetic coding is less resilient than Huffman coding, while with the EREC both systems yield comparable results.
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