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IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015

作者： Prata, Oscavo G. Pinho, Marcelo S. Instituto Tecnológico de Aeronáutica Sao José dos Campos SP Brazil

ISBN: (纸本)9781479979295

This paper presents a method for improving the performance of the compression algorithm recommended by CCSDS, operating with mutlicomponent images on lossy mode. The proposed method uses: KLT as the transform coding, an algorithm for distribute maximum bit rate between image components to maximize the PSNR, and a transport mechanism for transform coding coefficients. To evaluate the performance of the proposed method, images captured by the CCD camera of CBERS-2B were used. It was observed that the proposed method presents gains that can be of the order of 5 [dB] compared to the recommended algorithm being used to encode each image component independently. Furthermore, the results obtained demonstrate that the use of a fixed operator results in a performance close to that achieved by a computed transformation operator for each picture to be coded, for rates between 2 and 4 bit per pixel. © 2015 IEEE.

关键词： CCD image sensors image coding CBERS-2B CCD camera China-Brasil Earth resource satellite computed transformation operator image compression algorithm lossy mode multicomponent images recommended algorithm transform coding coefficients Discrete wavelet transforms Image coding Redundancy Satellites Standards Transform coding CCSDS Image compression Karhunen-Loéve Transform Multicomponent Image consultative committee for space data systems image coding transform coding image compression algorithm Data compression Image compression CCD image sensors discrete wavelet transform satellites redundancy Karhunen-Loeve transform compression algorithms

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BD-LZW picture compression algorithm for WSN system

BD-LZW picture compression algorithm for WSN system

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2008 3rd International Conference on Pervasive Computing and Applications, ICPCA08

作者： Jinlan, Zhan Qingguo, Zhou Shuwei, Bai Li, Cuihual Bin, Hu Li, Lian Department of Computer Science Video and Image Processing Lab Xiamen University China Engineering Research Center of Open Source Software and Real-time System Ministry of Education Department of Information Science and Engineering Lanzhou University China Department of Computing University of Central England United Kingdom

ISBN: (纸本)9781424420209

In the paper, a new parallel LZW-Like algorithm, bidirectory LZW algorithm (BD-LZW) will be interpreted The new algorithm can be used in data compression/decompression system which runs on multi-microprocessor system, such as CELL, which the algorithm will be implemented on. Different from the conventional parallel LZW algorithm with one input directory, BD-LZW algorithm allows two threads reading characters from two ends of string. By this method, the data can be partitioned for compression/decompression loading between two threads fairly and easily. The most important is the compression performance can be improved by the new algorithm. Comparing running time, it's lower 10% than conventional parallel LZW (P-LZW) algorithm when there are two threads running on CELL architecture. © 2008 IEEE.

关键词： compression algorithms Wireless sensor networks Yarn Partitioning algorithms Image coding Data compression Video compression Image processing Computer science Open source software

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Chinese text compression algorithm based on LZW

Chinese text compression algorithm based on LZW

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International Conference on Computer Application and System Modeling

作者： Chen, Wei Xu, Dewu Fu, Minfeng Math Physics and Information Engineering College Zhejiang Normal University Jinhua China

ISBN: (纸本)9781424472369

This paper introduced an improved LZW algorithm of data compression. In view of Chinese text characteristic, in this paper, the expansion to the dictionary was carried on, and the first level database of Chinese was added, with some second level of Chinese characters space reserved to improve the dictionary memory method as well as the renewal way which was improved by experiments to the improvements of compression ratio. © 2010 IEEE.

关键词： Chinese text compression algorithm LZW compression algorithms LZW Text compression Chinese Chinese Chinese philosophy Chinese art Dictionaries as Topic compression ratio

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Guided quaternary reaching method for wavelet-based image compression

Guided quaternary reaching method for wavelet-based image co...

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DCC 2007: 2007 Data compression Conference

作者： Xiteng, Liu University of South Carolina Industrial Mathematics Institute Columbia SC 29208 United States

No abstract available

ISBN: (纸本)0769527914

No abstract available

关键词： Image coding Transform coding Quantization Wavelet coefficients Partitioning algorithms Mathematics Algorithm design and analysis compression algorithms PSNR Image quality

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A divide and conquer state grouping method for bitmap based transition compression 18

A divide and conquer state grouping method for bitmap based ...

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18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2017

作者： Shankar, Subramanian Shiva Pinxing, Lin Herkersdorf, Andreas Wild, Thomas Intel Technology Asia Pte. Ltd. Singapore Institute for Integrated Systems Technische Universität München Germany

ISBN: (纸本)9781538631515

Member State Bitmask Technique (MSBT) is a hardware oriented transition compression technique which can compress the redundant transitions in a finite automaton. While the compressed automaton is stored in on-chip memories;a dedicated hardware accelerator performs signature matching by comparing the network streams against the compressed automaton at line rate. The MSBT consists of three functional steps which include the intra-state transition compression, state grouping and the inter-state transition compression. The state grouping algorithm which is currently used in MSBT is not compression aware and results in sub-optimal transition compression. To address this weakness, a compression aware Divide and Conquer state grouping method is proposed in this paper, which can efficiently group states that improves the transition compression in MSBT. Experimental evaluation of the proposed state grouping method, results in a reduced on-chip memory usage of the order of 10-30%. The reduction in the memory usage allows to accommodate more signatures in on-chip memories and perform signature matching with them at line rate. © 2017 IEEE.

关键词： Automata Clustering algorithms Hardware System-on-chip Payloads compression algorithms Complexity theory system-on-chip compression algorithms Automata Payload Martius scarlet blue trichrome Clustering algorithms Complexity theory Computer hardware bit map line rate Divide and conquer compression finite state machines

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MANIPULATION AND COMPOSITING OF MC-DCT COMPRESSED VIDEO

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1995年第1期13卷 1-11页

作者： CHANG, SF MESSERSCHMITT, DG COLUMBIA UNIV CTR TELECOMMUN RESNEW YORKNY 10027 UNIV CALIF BERKELEY DEPT EECSBERKELEYCA 94720

Many advanced video applications require manipulations of compressed video signals. Popular video manipulation functions include overlap (opaque or semitransparent), translation, scaling, linear filtering, rotation, and pixel multiplication. In this paper, we propose algorithms to manipulate compressed video in the compressed domain. Specifically, we focus on compression algorithms using the discrete cosine transform (DCT) with or without motion compensation (MC). compression systems of such kind include JPEG, motion JPEG, MPEG, and H.261. We derive a complete set of algorithms for all aforementioned manipulation functions in the transform domain, in which video signals are represented by quantized transform coefficients. Due to a much lower data rate and the elimination of decompression/compression conversion, the transform-domain approach has great potential in reducing the computational complexity. The actual computational speedup depends on the specific manipulation functions and the compression characteristics of the input video, such as the compression rate and the nonzero motion vector percentage. The proposed techniques can be applied to general orthogonal transforms, such as discrete trigonometric transform. For compression systems incorporating MC (such as MPEG), we propose a new decoding algorithm to reconstruct the video in the transform domain and then perform the desired manipulations in the transform domain. The same technique can be applied to efficient video transcoding (e.g., from MPEG to JPEG) with minimal decoding.

关键词： Video compression Transform coding Discrete transforms Discrete cosine transforms Decoding Maximum likelihood detection compression algorithms Motion compensation Computational complexity Transcoding

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Dynamic-CoMPI: dynamic optimization techniques for MPI parallel applications

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JOURNAL OF SUPERCOMPUTING 2012年第1期59卷 361-391页

作者： Filgueira, Rosa Carretero, Jesus Singh, David E. Calderon, Alejandro Nunez, Alberto Univ Carlos III Madrid Dept Comp Sci Madrid Spain

This work presents an optimization of MPI communications, called Dynamic-CoMPI, which uses two techniques in order to reduce the impact of communications and non-contiguous I/O requests in parallel applications. These techniques are independent of the application and complementaries to each other. The first technique is an optimization of the Two-Phase collective I/O technique from ROMIO, called Locality aware strategy for Two-Phase I/O (LA-Two-Phase I/O). In order to increase the locality of the file accesses, LA-Two-Phase I/O employs the Linear Assignment Problem (LAP) for finding an optimal I/O data communication schedule. The main purpose of this technique is the reduction of the number of communications involved in the I/O collective operation. The second technique, called Adaptive-CoMPI, is based on run-time compression of MPI messages exchanged by applications. Both techniques can be applied on every application, because both of them are transparent for the users. Dynamic-CoMPI has been validated by using several MPI benchmarks and real HPC applications. The results show that, for many of the considered scenarios, important reductions in the execution time are achieved by reducing the size and the number of the messages. Additional benefits of our approach are the reduction of the total communication time and the network contention, thus enhancing, not only performance, but also scalability.

关键词： MPI library Parallel techniques Clusters architectures compression algorithms Collective I/O Adaptive systems Heuristics

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Sparsity Order Estimation for Compressed Sensing System Using Sparse Binary Sensing Matrix

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IEEE ACCESS 2022年 10卷 33370-33392页

作者： Thiruppathirajan, S. Narayanan, Lakshmi R. Sreelal, S. Manoj, B. S. Indian Space Res Org ISRO Vikram Sarabhai Space Ctr VSSC Thiruvananthapuram 695022 Kerala India Indian Inst Space Sci & Technol IIST Thiruvananthapuram 695547 Kerala India

We present a composite Compressed Sensing system for the acquisition and recovery of compressible signals, where a sparse Binary Sensing Matrix aids Sparsity Order Estimation, and a Gaussian Sensing Matrix aids reconstruction. The Binary Sensing Matrix is deterministic and is adapted according to the varying nature of the sparsity order. We estimate the sparsity order by exploiting the sparse structure of the Binary Sensing Matrix and the statistics of the obtained measurements. We refine the estimates of the sparsity order using a Kalman filter with a discrete Markov model that characterizes the sparsity order variation. A Binary Sensing Matrix-Aided Orthogonal Matching Pursuit is developed for faster recovery of compressible signals. Simulation results on real-world and synthetic data demonstrate the merits of the proposed sparsity order estimation and recovery methods compared to other existing methods. Our proposed methods are practical and recover compressible signals at least 25% faster than the existing methods.

关键词： Sensors Sparse matrices Matching pursuit algorithms Estimation Size measurement Noise measurement Volume measurement Compressed sensing compression algorithms discrete cosine transforms greedy algorithms Kalman filters Markov processes maximum likelihood estimation signal reconstruction sparse matrices vibration measurement

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Normal-Based Bas-Relief Modelling via Near-Lighting Photometric Stereo

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COMPUTER GRAPHICS FORUM 2020年第1期39卷 204-219页

作者： Wei, M. Song, Z. Nie, Y. Wu, J. Ji, Z. Guo, Y. Xie, H. Wang, J. Wang, F. L. Nanjing Univ Aeronaut & Astronaut Sch Comp Sci & Technol Nanjing Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Hangzhou Dianzi Univ Sch Comp Sci & Technol Hangzhou Peoples R China Educ Univ Hong Kong Dept Math & Informat Technol Hong Kong Peoples R China Open Univ Hong Kong Sch Sci & Technol Hong Kong Peoples R China

We present a near-lighting photometric stereo (NL-PS) system to produce digital bas-reliefs from a physical object (set) directly. Unlike both the 2D image and 3D model-based modelling methods that require complicated interactions and transformations, the technique using NL-PS is easy to use with cost-effective hardware, providing users with a trade-off between abstract and representation when creating bas-reliefs. Our algorithm consists of two steps: normal map acquisition and constrained 3D reconstruction. First, we introduce a lighting model, named the quasi-point lighting model (QPLM), and provide a two-step calibration solution in our NL-PS system to generate a dense normal map. Second, we filter the normal map into a detail layer and a structure layer, and formulate detail- or structure-preserving bas-relief modelling as a constrained surface reconstruction problem of solving a sparse linear system. The main contribution is a WYSIWYG (i.e. what you see is what you get) way of building new solvers that produces multi-style bas-reliefs with their geometric structures and/or details preserved. The performance of our approach is experimentally validated via comparisons with the state-of-the-art methods.

关键词： compression algorithms modelling computational geometry curves and surfaces

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DESIGN OF A FULL-FEATURED, SOLID-STATE TELEPHONE ANSWERING DEVICE

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1989年第3期35卷 681-686页

作者： FERRIS, G AIZNER, M DSP Group Inc. Emeryville CA USA

The authors discuss the use of advanced digital signal processing (DSP) algorithms to implement sophisticated audio processing functions and microcontroller tasks on a low-cost digital signal processor, enabling OEM (original equipment manufacturer) vendors to build cost-effective solid-state telephone answering devices. Sophisticated data compression algorithms and a low-cost programmable DSP processor were used to develop a powerful set of telephone-answering-machine chips. The DSP-based chip sets have been integrated in devices that offer incoming message recording times from 5 to 25 min, outgoing messages, time/date voice stamping and many other advanced features. A key to the project was finding application areas where DSP software could replace the traditional hardware while providing higher performance at lower cost. Speech processing along with telephony provided that environment. Aspects of hardware and software design are discussed.

关键词： Speech processing Telephone ORIGINAL EQUIPMENT MANUFACTURER incoming data optoelectronic module Digital signal processors Computer hardware chip set HIGH-PERFORMANCE signal processor compression algorithms

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