Lossless JPEG is inherently a sequential algorithm. In order to achieve realtime encode/decode of lossless JPEG for motion pictures, it should be parallelized. We show the parallelized version of lossless JPEG and the...
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Lossless JPEG is inherently a sequential algorithm. In order to achieve realtime encode/decode of lossless JPEG for motion pictures, it should be parallelized. We show the parallelized version of lossless JPEG and the allocation of virtual processors. We also describe the preliminary performance prediction of the algorithm to confirm the possibility of the realtime processing.
This paper presents an image compression algorithm for gray scale images, based on neural networks. According to this algorithm the image will be first decomposed into Hadamard set of functions and second, the coeffic...
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ISBN:
(纸本)0818685484
This paper presents an image compression algorithm for gray scale images, based on neural networks. According to this algorithm the image will be first decomposed into Hadamard set of functions and second, the coefficients from the decomposition will be dynamically clustered by a newly proposed Dynamic Adaptive Clustering Method (DACM). We show that DACM converges to approximate the optimum solution based an the least sum of squares criterion theoretically and experimentally. We applied the compression method to various gray scale images and show its efficiency in providing high compression rates. In order to show some comparative results for the proposed method, we have chosen the well-known JPEG. its algorithm has similar structure and therefore is a good basis for comparison. The results from the gray scale images experiments are in favor of the proposed method.
Any context-free grammar G generates a language L(G). We are interested in context-free grammars G in which L(G) consists of exactly one string. Given a data string a: over a finite alphabet and a context-free grammar...
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ISBN:
(纸本)0780344081
Any context-free grammar G generates a language L(G). We are interested in context-free grammars G in which L(G) consists of exactly one string. Given a data string a: over a finite alphabet and a context-free grammar G such that L(G) = {x}, one call reduce G to a simpler grammar G' for which L(G') = {x} and for which certain constraints are satisfied. One then losslessly compresses x by losslessly compressing the grammar G'. The redundancy performance of this compression algorithm based upon reduced grammars is discussed.
Adequate protection of digital copies of multimedia content - both audio and video - is a prerequisite to the distribution of this content over networks. Until recently digital audio and video content has been protect...
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Adequate protection of digital copies of multimedia content - both audio and video - is a prerequisite to the distribution of this content over networks. Until recently digital audio and video content has been protected by its size: it is difficult to distribute and store without compression. Modern compression algorithms allow substantial bitrate reduction while maintaining high-fidelity reproduction. If distribution of these algorithms is controlled, cleartext uncompressed content is still protected by its size. However, once the compression algorithms are generally available cleartext content becomes extremely vulnerable to piracy. In this paper we explore the implications of this vulnerability and discuss the use of compression and watermarking in the control of piracy. (C) 1998 Optical Society of America.
This article presents the design principles for implementing low-power wireless video systems through the use of two examples, a single-chip digital video camera and a wireless video-on-demand system. The discussion w...
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This article presents the design principles for implementing low-power wireless video systems through the use of two examples, a single-chip digital video camera and a wireless video-on-demand system. The discussion will focus on the architectural and circuit techniques developed specifically for silicon integration of high-performance low-power wireless video systems. The proposed single-chip digital camera incorporates a parallel architecture to perform MPEG-2 encoding in real time, while the video-on-demand system employs an error-resilient compression algorithm to guard against the transmission errors often encountered in wireless communication. Both wireless video systems, one for encoding and the other for decoding, dissipate only tens of milliwatts of power, achieving a power reduction two orders of magnitude below standard solutions.
This paper presents a new technique which allows interactive optimization of video compression algorithms using massively parallel computers such as the CRAY T3D. This work aims to exploit as much as possible the para...
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This paper presents a new technique which allows interactive optimization of video compression algorithms using massively parallel computers such as the CRAY T3D. This work aims to exploit as much as possible the parallel nature of digital image processing algorithms to obtain almost real-time computing with the flexibility of a software implementation. Thanks to this low computation time, interactive tools have been developed which allow easy and fast visual evaluation of image quality. This leads to significant productivity gain when developing new video compression techniques. Our approach has been validated on advanced region-based video compression algorithms. The interactive facilities offered by the proposed technique permit the accurate optimization of the algorithm parameters in few minutes, where several days were previously needed. Depending on the complexity of the compression algorithms, 8-12 images are compressed, decompressed and visualized per second.
Today's public switched telephone networks are being upgraded to use digital transmission and switching. The main disadvantage of digital transmission is the higher bandwidth required. To alleviate this problem, m...
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Today's public switched telephone networks are being upgraded to use digital transmission and switching. The main disadvantage of digital transmission is the higher bandwidth required. To alleviate this problem, much research has been devoted into the compression of digitized voice signals. However, such compression techniques tend to have adverse effects on non-voice signals such as modems and faxes. This paper covers the performance of standard lossless compression algorithms on voiceband data signals.
Audio compression is a requirement for efficient transmission and storage of high fidelity digital audio. Recently developed algorithms are able to compress audio up to 12 times, without losing any audible quality. In...
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Audio compression is a requirement for efficient transmission and storage of high fidelity digital audio. Recently developed algorithms are able to compress audio up to 12 times, without losing any audible quality. In this thesis we look at different audio compression standards with regards to both compression rate and sound quality. The chosen algorithm, MPEG-1 Layer III, is discussed in detail concerning complexity and structure. We have also looked at different hardware technologies, especially digital signal processor solutions, suitable for an implementation of real-time encoders. A software prototype of a real-time encoder was built, based on MPEG-1 Layer III standard. The encoder was tested and verified in a simulator.
When attempting to compare different compression algorithms used in multiband compression hearing aids, or different parameter settings of a given compression algorithm, there is a need to compare equivalent amounts o...
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When attempting to compare different compression algorithms used in multiband compression hearing aids, or different parameter settings of a given compression algorithm, there is a need to compare equivalent amounts of compression. Since there are several parameters that influence the actual amount of compression that occurs, it is desirable to know which set of parameters will create the least perceptual difference from the original signal for a given amount of compression. Unfortunately, there is not a well defined approach for determining the amount of compression that has been imparted to a signal. Two degree of compression metrics are proposed that can be used to determine the amount of compression by direct analysis of the audio signal before and after compression. These metrics give excellent results in predicting the ratings of subject-based testing on the audio quality of several different audio segments across several parameter variations.
This paper presents an image compression algorithm for gray scale images, based on neural networks. According to this algorithm the image will be first decomposed into Hadamard set of functions and second, the coeffic...
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This paper presents an image compression algorithm for gray scale images, based on neural networks. According to this algorithm the image will be first decomposed into Hadamard set of functions and second, the coefficients from the decomposition will be dynamically clustered by a newly proposed dynamic adaptive clustering method (DACM). We show that DACM converges to approximate the optimum solution based on the least sum of squares criterion theoretically and experimentally. We applied the compression method to various gray scale images and show its efficiency in providing high compression rates. In order to show some comparative results for the proposed method, we have chosen the well-known JPEG. Its algorithm has similar structure and therefore is a good basis for comparison. The results from the gray scale images experiments are in favor of the proposed method.
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