Results 131 to 140 of about 575 (174)

DPCM Quantization of Color Television Signals

IEEE Transactions on Communications, 1983
The application of DPCM to the coding of color television signals calls for the design of the quantization characteristics for the luminance and the two color difference components. In this paper we describe quantizer designs based on visibility thresholds of quantization noise measured as a function of prediction error for a number of test slides.
F. Lukas, F. Kretz
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Theoretical Performance of Entropy-Encoded DPCM

IEEE Transactions on Communications, 1982
In this paper we derive simple approximate formulas for the performance of entropy-encoded DPCM for a Gaussian random process and a frequency-weighted mean-square distortion measure. Using these results we compare the performance of DPCM to the information theoretic rate-distortion bound.
V. Ralph Algazi, Joseph T. DeWitte Jr.
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Improvement of Implicit Residual DPCM for HEVC

2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014
For exploiting the spatial redundancy in intra coded coding unit (CU), a block-based angular intra prediction is defined in high efficiency video coding (HEVC). In lossless coding condition without transform, quantization, and in-loop filter, pixel wise differential pulse code modulation (DPCM) achieves better coding improvement than block-based ...
Kibaek Kim, Gwanggil Jeon, Jechang Jeong
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Stability of DPCM Coders for Television

IEEE Transactions on Communications, 1975
In digital pulse-code modulation (DPCM) transmission of pictures, often a two-dimensional (2-D) predictor is considered for use in the feedback loop. This paper considers the problem of stability of this 2-D recursive filter. It is assumed the predictor is designed to minimize the mean-square error over the space of all linear predictors.
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Application of Pseudorandom Noise to DPCM

IEEE Transactions on Communications, 1981
The conventional DPCM compression algorithm has been substantially improved by the substitution of a tapered, noisy quantizer for the usual tapered quantizer. This markedly reduces the visibility of defects caused by granular noise and leak. The quantizer characteristic can then be modified to achieve less slope overload, thus significantly improving ...
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Residual DPCM for lossless coding in HEVC

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Incorporating sample-based prediction during lossless coding can significantly improve coding performance. However, its use within a codec designed for lossy coding requires a modification of the available prediction scheme. When implementing the codec, two different prediction processes will have to be implemented.
Yih Han Tan, Chuohao Yeo, Zhengguo Li
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Two-tier DPCM codec for videoconferencing

IEEE Transactions on Communications, 1989
A two-tier differential pulse-code modulation (DPCM) codec for videoconference applications is described that utilizes the so-called masking effect of motion. In this approach, an image is separated into high-frequency and low-frequency components. The low-frequency signal is processed by an adaptive spatiotemporal DPCM codec.
Sheau-Bao Ng, Leonard Schiff
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DPCM encoding of regenerative composite processes

IEEE Transactions on Information Theory, 1994
Summary: Fixed (nonadaptive) and forward adaptive differential pulse code modulation of regenerative composite sources is investigated. In the fixed code, an approximate formula is given for the optimal value of the prediction coefficient. This is then used as an initial guess to optimize the code (predictor and quantizer) through a numerical method ...
Morteza Naraghi-Pour, Manjunath V. Hegde, Namit Arora   +2 more
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Adaptivity Versus Tree Searching in DPCM

IEEE Transactions on Communications, 1982
The interaction is studied between the effects of tree searching and predictor and quantizer adaptation in a differential pulse-code modulation (DPCM) speech digitzer. A 2 s male sentance is digitized at 1 and 2 bits/sample. The maximum entropy method computes a new source model every 8 ms, and a variety of strategiesare used to adapt the quantizer ...
H. C. Chan, J. B. Anderson
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The DPCM Technique

2004
The Differential Pulse Code Modulation (DPCM) method was used with a large success in the image compression [125], [153], [159]. This technique is based on removing redundant information, existing between consecutive image sequences, and coding only new information, which is passed with new image elements.
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