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检索条件"主题词=Compression algorithms"

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Distortions of synthesized views caused by compression of views and depth maps

Distortions of synthesized views caused by compression of vi...

引用

3DTV Conference

作者： Krzysztof Klimaszewski Krzysztof Wegner Marek Domanski Chair of Multimedia Telecommunications and Microelectronics Poznań University of Technology Poland

The paper deals with prospective 3D video transmission systems that would use compression of both multiview video and depth maps. The paper addresses the problem of quality of views synthesized from other views transmitted together with depth information. For the state-of-the-art depth map estimation and view synthesize techniques, the paper proves that AVC/SVC-based multiview video coding technique can be used for compression of both view pictures and depth maps. The paper reports extensive experiments where synthesized video quality has been estimated by use of both PSNR index and subjective assessment. Defined is the critical value of depth quantization parameter as a function of the reference view quantization parameter. For smaller depth map quantization parameters, depth map compression has negligible influence on fidelity of synthesized views.

关键词： Video compression Bit rate Quantization Automatic voltage control Video coding State estimation TV Transmitters compression algorithms Testing

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K-RLE: A New Data compression Algorithm for Wireless Sensor Network

K-RLE: A New Data Compression Algorithm for Wireless Sensor ...

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International Conference on Sensor Technologies and Applications, SensorComm

作者： Eugène Pamba Capo-Chichi Hervé Guyennet Jean-Michel Friedt Laboratory of Computer Science-LIFC University of Franche-Comté Besancon France FEMTO-ST/LPMO University of Franche-Comté Besancon France

In the context of the use of wireless sensor network technology for environmental monitoring, the two main elementary activities of wireless sensor network are data acquisition and transmission. However, transmitting/receiving data are power consuming task. In order to reduce transmission-associated power consumption, we explore data compression by processing information locally. In this article, we evaluate and compare compression algorithms on an ultra-low power microcontroller from Texas Instrument within the MSP430 series used for designing wireless sensor network. We propose and evaluate a new data compression algorithm inspired from run length encoding called K-RLE.

关键词： Data compression Wireless sensor networks Monitoring Data acquisition Energy consumption compression algorithms Microcontrollers Instruments Algorithm design and analysis Encoding

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LICT: Left-uncompressed Instructions compression Technique to improve the decoding performance of VLIW processors 09

LICT: Left-uncompressed Instructions Compression Technique t...

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Design Automation Conference

作者： Talal Bonny Jorg Henkel Chair for Embedded Systems University of Karlsruhe Karlsruhe Germany

ISBN: (纸本)9781605584973

Compressing program code compiled for VLIW processors to reduce the amount of memory is a necessary means to decrease costs. The main disadvantage of any code compression technique is the system performance penalty because of the extra time required to decode the compressed instructions during run time. In this paper we improve the performance of decoding compressed instructions by using our novel compression technique (LICT: left-uncompressed instruction technique) which can be used in conjunction with any compression algorithm. Furthermore, we adapt a new code compression approach called Burrows-Wheeler (BW) which has been used before in data compression. It significantly reduces the code size compared to state-of-the-art approaches for VLIW processors. Using our LICT in conjunction with the BW algorithm improves the performance explicitly (2.5times) with little impact on the compression ratio (only 3% compression ratio loss).

关键词： Decoding VLIW compression algorithms Embedded system Costs Performance loss Permission System performance Data compression Hardware

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Low-Complexity Hyperspectral Image compression on a Multi-tiled Architecture

Low-Complexity Hyperspectral Image Compression on a Multi-ti...

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NASA/ESA Conference on Adaptive Hardware and Systems (AHS)

作者： Karel H.G. Walters André B.J. Kokkeler Sabih Gerez Gerard J.M. Smit Department of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

The increasing amount of data produced in satellites poses a downlink communication problem due to the limited data rate of the downlink. This bottleneck is solved by introducing more and more processing power on-board to compress data to a satisfiable rate. This paper introduces an algorithm which has been developed to compress hyperspectral images at low complexity and describes its mapping to a new hardware platform called the Xentium. It is characterized by both high flexibility as well as high processing power. After introducing the algorithm the Xentium hardware is described. The different mapping strategies are explained and a cycle estimation is derived. It turns out that the compression algorithm can indeed be efficiently mapped on a reconfigurable tile like the Xentium. An image of 1024 times 1024 with 50 bands can be compressed in about 4 seconds on a single tile. Adding more tiles gives a close to linear speedup.

关键词： Hyperspectral imaging Image coding Tiles Hardware Hyperspectral sensors Downlink compression algorithms Energy consumption NASA Adaptive systems

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Adaptive data compression for efficient sequential transmission and change updating of remote sensing images

Adaptive data compression for efficient sequential transmiss...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Md. Al Mamun Xiuping Jia Michael Ryan School of Engineering and Information Technology University of New South Wales Campbell ACT Australia School of Engineering and Information Technology Australian Defence Force Academy Campbell ACT Australia

In this paper, a selective data compression scheme is developed to combine the need for efficient data transmission and the receivers' interest in changes presented in the data by taking the advantage of the fact that receivers hold a copy of previous data. Three-step pre-processing is introduced in this paper. Firstly we separate the unchanged areas (the majority) of the image from the changed areas between successive images of the same area. Secondly, the bands which are sensitive to the changes are identified with the aid of statistical measures. Finally, a binary index image of each band is generated to indicate the two categories. Following this pre-processing, compression of the unchanged areas and changed areas is conducted separately. In this way, different compression algorithms can be applied to each case. As the majority data will be unchanged and only a subset of bands reflects the changes, high compression rate is achievable.

关键词： Data compression Remote sensing Image coding Principal component analysis compression algorithms Predictive models Image analysis Australia Data communication Multispectral imaging

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Dynamic range compression algorithm for mobile display devices using average luminance values

Dynamic range compression algorithm for mobile display devic...

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International Symposium on Integrated Circuits (ISIC)

作者： Sungmok Lee Boodong Kwak Hagyong Han Wontae Choi Bongsoon Kang Department of Electronics Engineering Dong-A University Busan South Korea BK21 High Performance Multimedia Team Dong-A University Busan South Korea Image Solution Group Samsung Electro Mechanics Company Limited Suwon South Korea

This paper presents a dynamic range compression method for improving the contrast of color images. A variable transformation is applied to the input image, depending on the local dependency of the intensity. In this work, we present a local contrast correction algorithm that allows for simultaneous lowlight region and high-light region adjustments, based on multi-scale Gaussian filtering. Also, to minimize the change in color saturation between the input and the output image, we present the linear color restoration method.

关键词： Dynamic range compression algorithms Displays IEEE members Image coding Pixel Color Filtering algorithms Low pass filters Image restoration

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Efficient compression Algorithm for CN Top Level Domain DNS Log

Efficient Compression Algorithm for CN Top Level Domain DNS ...

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International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Zheng Wang Xin Wang Xiaodong Lee Baoping Yan China Internet Network Inf. Center China Comput. Network Inf. Center Chinese Acad. of Sci. Beijing China

The domain name system (DNS) is a fundamental component of the modern Internet. In the deployment of real time DNS monitoring and analysis system, the large volume CN top level domain DNS log, especially by BIND, heavily burdens its transmission from the distributed sites to the data processing center. The redundancy of DNS query type and the repetitiveness of DNS query time, IP and domain name is utilized for the DNS log compression to facilitate its transmission. For IP and domain name compression, the algorithm relies on their time and space locality.

关键词： compression algorithms Internet Bandwidth Data processing Data communication IP networks Domain Name System Monitoring Web server Fluctuations

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Lossless compression of Hyperspectral Image Based on 3DLMS Prediction

Lossless Compression of Hyperspectral Image Based on 3DLMS P...

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Congress on Image and Signal Processing, CISP

作者： Yonghong Chen Zelin Shi Deqiang Li Chinese Academy of Sciences Beijing Beijing CN Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China

This aiming at improving the lossless compression ratio of hyperspectral image, a three-dimensional LMS (3DLMS) algorithm is first deduced and applied into the field of hyperspectral image compression. A novel adaptive prediction model based on 3DLMS algorithm for lossless compression of hyperspectral image is proposed and optimized by the local casual set mean subtraction method. Experimental results on AVIRIS images show that the proposed algorithm can remove both the spatial and spectral redundancy of hyperspectral image and achieve higher image compression ratios than other state-of-the-art compression algorithms. The feasibility of 3DLMS algorithm in three-dimensional signal processing is also verified in this paper.

关键词： Image coding Hyperspectral imaging Signal processing algorithms Hyperspectral sensors Least squares approximation Predictive models compression algorithms Adaptive filters Adaptive signal processing Accuracy

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Analysis of lossless compression for a large class of sources of information

Analysis of lossless compression for a large class of source...

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Valeriu Munteanu Daniela Tarniceriu Gheorghe Zaharia Faculty of Electronics Telecommunications and Information Technology Gheorghe Asachi Technical University of Iasi Iasi Romania IETR-INSA UMR CNRS Rennes France

We analyze the lossless compression for a large class of discrete complete and memoryless sources performed by a generalized Huffman with an alphabet consisting of M letters. Given the number of source messages, N, the alphabet size, M, and the number of code words, p, on each level in the graph, excepting the last two ones, we have determined the unknown encoding parameters, that is, the number n of the levels in the encoding graph, the number q of code words on the level n-1, the number k of groups of M nodes, and the remaining m nodes on the last level. The average code word length is also computed. Two extreme cases, when p=0 and p=M-1 have been analyzed.

关键词： Information analysis Information resources Encoding Image coding Performance analysis Electronic mail Image reconstruction Equations Information technology compression algorithms

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Hyperspectral Image compression Based on Wavelets and Uniform Directional Filter Banks

Hyperspectral Image Compression Based on Wavelets and Unifor...

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Dong Song Lihua Hu Yan Feng Northwestern Polytechnical University Xi'an China

A multiscale geometric analysis method based on wavelet and uniform directional filter banks (WUDFB) is structured in order to overcome the insufficiencies of contourlet transform and wavelet-based contourlet transform which are used in compression. A novel WUDFB-based compression algorithm of hyperspectral imagery is proposed, in which intra-band WUDFB and inter-band prediction are used to remove the spatial and spectral redundancy respectively, and no-list set partitioned embedded block coder makes output embedded stream. The experimental results by using 64 band hyperspectral data show that the algorithm achieves higher peak signal-to-noise ratio at high compression ratio and preserves more detail information of original images than the algorithm based on wavelet transform.

关键词： Hyperspectral imaging Image coding Filter bank Wavelet transforms Hyperspectral sensors Computed tomography Remote sensing Wavelet analysis Image analysis compression algorithms

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