Search results for "Data Compression"

showing 10 items of 99 documents

Efficient image compression using directionlets

2007

Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the sta…

Lossless compressionTexture compressionbusiness.industryWavelet transformSet partitioning in hierarchical treesWaveletComputer visionArtificial intelligencebusinessQuantization (image processing)AlgorithmMathematicsData compressionImage compression2007 6th International Conference on Information, Communications & Signal Processing
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Image compression based on a multi-directional map-dependent algorithm

2007

Abstract This work is devoted to the construction of a new multi-directional edge-adapted compression algorithm for images. It is based on a multi-scale transform that is performed in two steps: a detection step producing a map of edges and a prediction/multi-resolution step which takes into account the information given by the map. A short analysis of the multi-scale transform is performed and an estimate of the error associated to the largest coefficients for a piecewise regular function with Lipschitz edges is provided. Comparisons between this map-dependent algorithm and different classical algorithms are given.

Lossless compressionWork (thermodynamics)Texture compressionApplied MathematicsPiecewiseFunction (mathematics)Lipschitz continuityAlgorithmMathematicsImage compressionData compressionApplied and Computational Harmonic Analysis
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Phase-matching measurements and Sellmeier equations over the complete transparency range of KTiOAsO_4, RbTiOAsO_4, and CsTiOAsO_4

2000

The sphere method is used for the direct measurement of sum- and difference-frequency generation phase matched in the principal planes of KTiOAsO4, RbTiOAsO4, and CsTiOAsO4, including the tuning curves of 1.064-µm-pumped OPO’s emitting between 3 and 5 µm. The nonlinear least-squares fitting of our experimental data leads to refined dispersion equations of the principal refractive indices; the resulting dual-oscillator form equations are valid over the complete transparency range of the three studied materials.

Materials sciencebusiness.industryPhase (waves)Statistical and Nonlinear PhysicsNonlinear optical crystalAtomic and Molecular Physics and OpticsNonlinear systemOpticsDispersion (optics)Range (statistics)Transparency (data compression)businessRefractive indexPhase matchingJournal of the Optical Society of America B
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Hardware Implementation of a Configurable Motion Estimator for Adjusting the Video Coding Performances

2012

International audience; Despite the diversity of video compression standard, the motion estimation still remains a key process which is used in most of them. Moreover, the required coding performances (bit-rate, PSNR, image spatial resolution, etc.) depend obviously of the application, the environment and the network communication. The motion estimation can therefore be adapted to fit with these performances. Meanwhile, the real time encoding is required in many applications. In order to reach this goal, we propose in this paper a hardware implementation of the motion estimator which enables the integer motion search algorithms to be modified and the fractional search and variable block siz…

Motion compensation[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingbusiness.industryComputer scienceReal-time computingEstimator020206 networking & telecommunications02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingQuarter-pixel motion[INFO.INFO-ES] Computer Science [cs]/Embedded Systems[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMotion estimation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsField-programmable gate arraybusinessBlock size[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputer hardwareComputingMilieux_MISCELLANEOUSData compressionCoding (social sciences)
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Suffix Array Construction on Multi-GPU Systems

2019

Suffix arrays are prevalent data structures being fundamental to a wide range of applications including bioinformatics, data compression, and information retrieval. Therefore, various algorithms for (parallel) suffix array construction both on CPUs and GPUs have been proposed over the years. Although providing significant speedup over their CPU-based counterparts, existing GPU implementations share a common disadvantage: input text sizes are limited by the scarce memory of a single GPU. In this paper, we overcome aforementioned memory limitations by exploiting multi-GPU nodes featuring fast NVLink interconnects. In order to achieve high performance for this communication-intensive task, we …

Multi-core processorSpeedupComputer scienceSuffix array0102 computer and information sciences02 engineering and technologyParallel computingData structure01 natural scienceslaw.inventionCUDAShared memory010201 computation theory & mathematicslaw0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSuffixData compressionProceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing
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A New Combinatorial Approach to Sequence Comparison

2008

In this paper we introduce a new alignment-free method for comparing sequences which is combinatorial by nature and does not use any compressor nor any information-theoretic notion. Such a method is based on an extension of the Burrows-Wheeler Transform, a transformation widely used in the context of Data Compression. The new extended transformation takes as input a multiset of sequences and produces as output a string obtained by a suitable rearrangement of the characters of all the input sequences. By using such a transformation we give a general method for comparing sequences that takes into account how much the characters coming from the different input sequences are mixed in the output…

MultisetTheoretical computer scienceBurrows–Wheeler transformSettore INF/01 - InformaticaComputer scienceBurrows-Wheeler transform; Sequence comparisonString (computer science)Context (language use)Extension (predicate logic)ComparisonInformation theoryGenomeBurrows-Wheeler transform; ComparisonTheoretical Computer ScienceTransformation (function)CategorizationComputational Theory and MathematicsPhylogeneticsSequence comparisonTheory of computationBurrows-Wheeler TransformSequence ComparisonAlgorithmMathematicsData compression
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Bandwidth Resource Management for Neural Signal Telemetry

2009

Recent advances in modern neurocomputing have shown the utmost necessity of wireless communication systems that allow real-time (RT) monitoring of neural signals meeting several requirements such as source compression and high fidelity of the received signal. Neural recordings require multielectrode probes with up to hundreds of electrodes and transmission of signals wirelessly over a limited bandwidth (BW). In this paper, a RT resource management algorithm is proposed so that adequate source compression is applied to each channel in order to fit them into the available BW. Performance of the algorithm is analyzed using dynamically changing BW and neural recordings with different neural act…

NeuronsComputer scienceModels NeurologicalReal-time computingSignal Processing Computer-AssistedGeneral MedicineSignalRatsComputer Science ApplicationsBandwidth allocationTransmission (telecommunications)Bandwidth (computing)AnimalsTelemetryResource allocationAlgorithm designElectrical and Electronic EngineeringAlgorithmsCells CulturedMonitoring PhysiologicBiotechnologyData compressionCommunication channelIEEE Transactions on Information Technology in Biomedicine
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Data Compression with ENO Schemes: A Case Study

2001

Abstract We study the compresion properties of ENO-type nonlinear multiresolution transformations on digital images. Specific error control algorithms are used to ensure a prescribed accuracy. The numerical results reveal that these methods strongly outperform the more classical wavelet decompositions in the case of piecewise smooth geometric images.

Nonlinear systemDigital imageWaveletTheoretical computer scienceApplied MathematicsMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPiecewiseError detection and correctionAlgorithmComputingMethodologies_COMPUTERGRAPHICSMathematicsData compressionApplied and Computational Harmonic Analysis
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Image Compression by 2D Motif Basis

2011

Approaches to image compression and indexing based on extensions to 2D of some of the Lempel-Ziv incremental parsing techniques have been proposed in the recent past. In these approaches, an image is decomposed into a number of patches, consisting each of a square or rectangular solid block. This paper proposes image compression techniques based on patches that are not necessarily solid blocks, but are affected instead by a controlled number of undetermined or don't care pixels. Such patches are chosen from a set of candidate motifs that are extracted in turn from the image 2D motif basis, the latter consisting of a compact set of patterns that result from the autocorrelation of the image w…

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionData_CODINGANDINFORMATIONTHEORYcomputer.file_formatJPEGImage (mathematics)Compression (functional analysis)Motif extraction Pattern discoveryArtificial intelligencebusinessAlgorithmcomputerImage compressionData compressionMathematicsColor Cell CompressionBlock (data storage)2011 Data Compression Conference
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Accelerating H.264 inter prediction in a GPU by using CUDA

2010

H.264/AVC defines a very efficient algorithm for the inter prediction but it takes too much time. With the emergence of General Purpose Graphics Processing Units (GPGPU), a new door has been opened to support this video algorithm into these small processing units. In this paper, a forward step is developed towards an implementation of the H.264/AVC inter prediction algorithm into a GPU using Compute Unified Device Architecture (CUDA). The results show a negligible rate distortion drop with a time reduction on average up to 93.6%.

Reduction (complexity)CUDACoprocessorComputer scienceImage processingParallel computingGeneral-purpose computing on graphics processing unitsGraphicsData compression2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)
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