A new approach for real-time ECG data compression is presented. This technique is a hybrid of well known techniques called SAPA-2 and Adaptive compression algorithm. A special decompression algorithm and smooth-curve ...
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A new approach for real-time ECG data compression is presented. This technique is a hybrid of well known techniques called SAPA-2 and Adaptive compression algorithm. A special decompression algorithm and smooth-curve approximation are used to reconstruct the compressed data into original form. In order to compare this new approach on the same bases with other well known techniques which are widely used in practice, all the techniques are applied to the same single lead ECG signal.< >
Investigates a number of techniques developed for fingerprint identification. The test implementations include: ISO/CCITT JPEG developed cosine transform; local cosine transform; best basis-adaptive wavelet transform ...
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Investigates a number of techniques developed for fingerprint identification. The test implementations include: ISO/CCITT JPEG developed cosine transform; local cosine transform; best basis-adaptive wavelet transform plus uniform quantisation; wavelet vector quantisation; and wavelet scaler quantisation. All of the above algorithms are viewed from a multifrequency or subband decomposition perspective. The results of ad hoc tests are summarised.< >
To evaluate the visual influence of irreversible compression on medical images, changes of the images have to be visualized. The authors have explored alternative techniques to be used instead of the usual side-by-sid...
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To evaluate the visual influence of irreversible compression on medical images, changes of the images have to be visualized. The authors have explored alternative techniques to be used instead of the usual side-by-side comparison, where the information contained in both images is perceived in a single image, preserving the context between compression errors and image structures. Thus fast and easy comparison can be done. These techniques make use of the human ability to perceive information also in the dimensions of color, space, and time. A study was performed with JPEG-compressed coronary angiographic images. Changes in the resulting images for six compression factors from 7 to 30 were scored by an observer. The results show that medically relevant changes, using the JPEG algorithm, appear between compression ratios of 7:1 and 10:1.< >
A description and comparative study of three different waveform data compression schemes are presented. All three schemes are lossless, that is, decompression results in exact recovery of the original data samples. Th...
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A description and comparative study of three different waveform data compression schemes are presented. All three schemes are lossless, that is, decompression results in exact recovery of the original data samples. The first technique uses linear prediction followed by residue sequence encoding. The second and third techniques use single-stage differencing followed by two different methods of encoding. The three schemes are first described. The compression ratio and CPU time required for compression and decompression are studied using an extensive set of seismic data.< >
A simple, yet remarkably effective, image compression algorithm that has the property that the bits in the bit stream are generated in order of importance, yielding fully hierarchical image compression suitable for em...
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A simple, yet remarkably effective, image compression algorithm that has the property that the bits in the bit stream are generated in order of importance, yielding fully hierarchical image compression suitable for embedded coding or progressive transmission, is described. Given an image bit stream, the decoder can cease decoding at the same image that would have been encoded at the bit rate corresponding to the truncated bit stream. The compression algorithm is based on three key concepts: (1) wavelet transform or hierarchical subband decomposition, (2) prediction of the absence of significant information across scales by exploiting the self-similarity inherent in images, and (3) hierarchical entropy-coded quantization.< >
The authors describe the architecture of a real-time progressive full-search vector quantizer (VQ) suitable for VLSI implementation. Because of the large memory and ALU requirements of a single VQ, the compression is ...
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The authors describe the architecture of a real-time progressive full-search vector quantizer (VQ) suitable for VLSI implementation. Because of the large memory and ALU requirements of a single VQ, the compression is performed in stages. Each stage generates a codebook index, a difference vector, and total pixel error squared. The encoder chip is partitioned into master/slave portions dividing the codebooks and computational requirements between the two ASICs (application-specific integrated circuits). Because the system is modular, several encoder stages can be cascaded to achieve a higher-quality reconstruction. The VQ is progressive in the sense that each additional stage of encoding produces better visual quality. The authors also describe the architecture of a completion chip which can be used in conjunction with several encoders to realize a single VQ.< >
The broadband, intelligent networks currently being planned are intended to transport video and multimedia services as well as speech services. The need for new knowledge about customers' opinions of the transmiss...
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The broadband, intelligent networks currently being planned are intended to transport video and multimedia services as well as speech services. The need for new knowledge about customers' opinions of the transmission impairments that occur with the new video and multimedia services is discussed. The results obtained from three subjective viewing tests of Bellcore versions of Moving Picture Experts Group (MPEG) 1 and MPEG 2 compatible compression algorithms are described. The need for new tools and procedures to develop multimedia performance evaluation method is discussed.< >
Digitized images are known to be extremely space consuming. However, regularities in the images can often be exploited to reduce the necessary storage area. Thus, many systems store images in a compressed form. The au...
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Digitized images are known to be extremely space consuming. However, regularities in the images can often be exploited to reduce the necessary storage area. Thus, many systems store images in a compressed form. The authors propose that compression be used as a time saving tool, in addition to its traditional role of space saving. They introduce a new pattern matching paradigm, compressed matching. A text array T and pattern array P are given in compressed forms c(T) and c(P). They seek all appearances of P in T, without decompressing T. This achieves a search time that is sublinear in the size of the uncompressed text mod T mod . They show that for the two-dimensional run-length compression there is a O( mod c(T) mod log mod P mod + mod P mod ), or almost optimal algorithm. The algorithm uses a novel multidimensional pattern matching technique, two-dimensional periodicity analysis.< >
A digital signal processing capability that allows data compression and the use of cost effective memories, both fundamental to digital answering machines (DAMs), is reported. It is provided by a three-chip cluster, t...
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A digital signal processing capability that allows data compression and the use of cost effective memories, both fundamental to digital answering machines (DAMs), is reported. It is provided by a three-chip cluster, tuned to the DAM application and based on the NS32AM160. This cluster offers a solution to both the processing power and system integration requirements.< >
Digital compression of video images is a possible avenue for HDTV transmission. compression needs to be optimized while picture quality remains high. Two techniques for compressing digitized images, vector quantizatio...
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Digital compression of video images is a possible avenue for HDTV transmission. compression needs to be optimized while picture quality remains high. Two techniques for compressing digitized images, vector quantization and enhanced differential pulse code modulation, are explained, and comparisons are drawn between the human vision system and artificial compression techniques. Suggestions for improving compression algorithms through the use of neural and analog circuitry are given.< >
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