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检索条件"主题词=Compression algorithms"

共 2075 条记录，以下是2011-2020 订阅

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Data compressor decompressor IC

Data compressor decompressor IC

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： I.A. Shah B.C. Johnson Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA

The data compressor decompressor (DCD) IC, a VLSI implementation of a version of the Lempel-Ziv (L-Z) compression algorithm, is discussed. The IC is suitable for high-speed, lossless compression of digital data such as text and images. The single-pass lossless compression scheme adapts to the statistics of the data being processed. The authors outline the L-Z compression method, illustrate a solution to its search requirement, and discuss the chip architecture and features.< >

关键词： Image coding Very large scale integration Encoding compression algorithms Statistics Memory Decoding Laboratories High speed integrated circuits Digital integrated circuits

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Motion compensation method for video encoding

Motion compensation method for video encoding

引用

Moscow Workshop on Electronic and Networking Technologies (MWENT)

作者： E. V. Medvedeva A. P. Metelev E. C. Kryshkina Department of Radio Electronics Vyatka State University VyatSU Kirov Russia

ISBN: (数字)9781728125725

ISBN: (纸本)9781728125732

A motion compensation method for video coding is proposed. The method is based at the estimation of motion vectors along the bit sheets of the most informative high order bits and the adaptive technology for selecting block sizes for motion compensation. Evaluation of motion vectors along the bit sheets of the higher bits will significantly reduce the computational complexity and enumeration of possible blocks. An adaptive technology of selecting block sizes for motion compensation will allow to select large blocks for homogeneous areas of the frame, and smaller blocks for images with complex motion. The proposed method can effectively eliminate temporary redundancy and increase the compression ratio of video frames with minimal computational resources. The results of modeling and evaluating the effectiveness of the developed algorithm are presented.

关键词： Motion compensation Redundancy Encoding Video compression Video coding Image coding compression algorithms

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An effective design system for dynamically reconfigurable architectures

An effective design system for dynamically reconfigurable ar...

引用

IEEE Symposium on FPGAs for Custom Computing Machines

作者： S. Govindarajan I. Ouaiss M. Kaul V. Srinivasan R. Vemuri University of Cincinnati Cincinnati OH USA

The SPARCS system is an integrated partitioning and synthesis environment for reconfigurable architectures. In this paper, we use the Joint Photographic Experts Group (JPEG) image compression algorithm as a design example to demonstrate the effectiveness of dynamic reconfiguration achieved using SPARCS. We present a typical design process using the SPARCS system consisting of temporal partitioning, spatial partitioning, and design synthesis. The results, obtained on a commercial RC architecture, show that the multiply-reconfigured version of the JPEG compression algorithm achieves reasonable improvement in execution times compared to the one-time configured version.

关键词： Reconfigurable architectures Algorithm design and analysis Partitioning algorithms Computer architecture Transform coding Discrete cosine transforms Field programmable gate arrays Image coding Process design compression algorithms

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Effective Variable-Length-to-Fixed-Length Coding via a Re-Pair Algorithm

Effective Variable-Length-to-Fixed-Length Coding via a Re-Pa...

引用

Data compression Conference (DCC)

作者： Satoshi Yoshida Takuya Kida Graduate School of Information Science and Technology Hokkaido University Sapporo Japan

Summary form only given. We address the problem of improving variable-length-to-fixed-length codes (VF codes). A VF code is an encoding scheme that uses a fixed-length code, and thus, one can easily access the compressed data. However, conventional VF codes usually have an inferior compression ratio to that of variable-length codes. Although a method proposed by T. Uemura et al. in 2010 achieves a good compression ratio comparable to that of gzip, it is very time consuming. In this study, we propose a new VF coding method that applies a fixed-length code to the set of rules extracted by the Re-Pair algorithm, proposed by N. J. Larsson and A. Moffat in 1999. The Re-Pair algorithm is a simple off-line grammar-based compression method that has good compression-ratio performance with moderate compression speed. Moreover, we present several experimental results to show that the proposed coding is superior to the existing VF coding.

关键词： Pattern matching Encoding Educational institutions Data compression Information science compression algorithms Workstations

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Visual optimization tools in JPEG 2000

Visual optimization tools in JPEG 2000

引用

IEEE International Conference on Image Processing

作者： Wenjun Zeng S. Daly Shawmin Lei Sharp Laboratories of America Inc.orporated USA

We review the various tools in JPEG 2000 that allow the users to take advantages of the various properties of the human visual system such as spatial frequency sensitivity and the visual masking effect. We show that the visual tool sets in JPEG 2000 are much richer than what was available in JPEG, where only locally invariant frequency weighting can be exploited.

关键词： Frequency Transform coding Image coding Humans Visual system compression algorithms Video compression Discrete wavelet transforms Laboratories Visual perception

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A multiscale framework for Compressive Sensing of video

A multiscale framework for Compressive Sensing of video

引用

Picture Coding Symposium, PCS

作者： Jae Young Park Michael B. Wakin Department of EECS University of Michigan Ann Arbor MI USA Division of Engineering Colorado Schml of Mines Golden CO USA

Compressive Sensing (CS) allows the highly efficient acquisition of many signals that could be difficult to capture or encode using conventional methods. From a relatively small number of random measurements, a high-dimensional signal can be recovered if it has a sparse or near-sparse representation in a basis known to the decoder. In this paper, we consider the application of CS to video signals in order to lessen the sensing and compression burdens in single- and multi-camera imaging systems. In standard video compression, motion compensation and estimation techniques have led to improved sparse representations that are more easily compressible; we adapt these techniques for the problem of CS recovery. Using a coarse-to-fine reconstruction algorithm, we alternate between the tasks of motion estimation and motion-compensated wavelet-domain signal recovery. We demonstrate that our algorithm allows the recovery of video sequences from fewer measurements than either frame-by-frame or inter-frame difference recovery methods.

关键词： Video compression Motion estimation Image coding Motion compensation compression algorithms Optical imaging Cameras Image reconstruction Decoding Reconstruction algorithms

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A Simple Predictive Transform Coder for Images

A Simple Predictive Transform Coder for Images

引用

MILCOM, Military Communications Conference

作者： Erlan H. Feria Joseph Barba Norman Scheinberg City College and Graduate Center City University of New York Staten Island NY USA

In this paper a simple predictive transform coder is proposed for the processing of images. The coder is intrafield and predicts the coefficients of a two-dimensional Hadamard transform based on the past pels immediately surrounding the transformed block. The cost and performance of the new coder compares well with that of other techniques. For example, a predictive transform coder acting on 2×2 picture blocks and operating at an average bit rate of 2 bits/pel is found to yield significantly better picture quality than that derived from a 2×2 or even a 4×4 Hadamard coder. Also, just as important, the physical implementation of this coder requires from two to three times the number of on-line operations required by a 2×2 Hadamard coder and 1/4 to 1/3 that of a 4×4 Hadamard coder.

关键词： Error correction Error correction codes Data compression Costs Transform coding Delay Bit rate compression algorithms

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No-reference quality assessment of JPEG images by using CBP neural networks

No-reference quality assessment of JPEG images by using CBP ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： P. Gastaldo R. Zunino Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy

Reliable methods for measuring the perceived image quality are needed to evaluate visual artifacts brought about by digital compression algorithms such as JPEG. This paper presents an objective quality-assessment method based on a circular back-propagation (CBP) neural structure: the network is trained to predict quality ratings, as scored by human assessors, from numerical features that characterize images. As such, the method aims at reproducing perceived image quality, rather than at defining a comprehensive model of the human visual system. The neural model allows one to decouple the task of feature selection from the mapping of these features into a quality score. Experimental results on a public database of test images confirm the effectiveness of the approach.

关键词： Quality assessment Neural networks Transform coding Image quality Humans compression algorithms Visual system Image databases Spatial databases Visual databases

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Comparing Occam and Wiener filters on broad-band signals

Comparing Occam and Wiener filters on broad-band signals

引用

Asilomar Conference on Signals, Systems & Computers

作者： B.K. Natarajan K. Konstantinides Hewlett Packard Laboratories Palo Alto CA USA

Occam filters are a class of filters for additive random noise, based on the idea that when a lossy data compression algorithm is applied to a noisy signal with the allowed loss set equal to the noise strength, the loss and the noise tend to cancel rather than add. The authors apply non-linear Occam filters to broad-band signals. Using the chirp signal as a specific example, they find that the Occam filter outperforms the Wiener filter consistently.< >

关键词： Wiener filter Additive noise Noise cancellation Filtering compression algorithms Signal processing algorithms Data compression Chirp Signal processing Noise measurement

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Interactive rendering of large volume data sets 02

Interactive rendering of large volume data sets

引用

Proceedings of the conference on Visualization '02

作者： Stefan Guthe Michael Wand Julius Gonser Wolfgang Straßer WSI/GRIS University of Tübingen

ISBN: (纸本)9780780374980

We present a new algorithm for rendering very large volume data sets at interactive framerates on standard PC hardware. The algorithm accepts scalar data sampled on a regular grid as input. The input data is converted into a compressed hierarchical wavelet representation in a preprocessing step. During rendering, the wavelet representation is decompressed on-the-fly and rendered using hardware texture mapping. The level of detail used for rendering is adapted to the local frequency spectrum of the data and its position relative to the viewer. Using a prototype implementation of the algorithm we were able to perform an interactive walkthrough of large data sets such as the visible human on a single of-the-shelf PC.

关键词： volume rendering scientific visualization compression algorithms level of detail algorithms wavelets

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