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检索条件"主题词=transform coding"

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A hierarchical C2RTL framework for FIFO-connected stream applications

A hierarchical C2RTL framework for FIFO-connected stream app...

引用

Asia and South Pacific Design Automation Conference

作者： Shuangchen Li Yongpan Liu Daming Zhang Xinyu He Pei Zhang Huazhong Yang TNList EE Department Tsinghua University Beijing China Y Explorations Inc. San Jose CA USA

ISBN: (纸本)9781467307703

In modern embedded systems, the C2RTL (high-level synthesis) technology helps the designer to greatly reduce time-to-market, while satisfying the performance and cost constraints. To attack the performance challenges in complex designs, we propose a FIFO-connected hierarchical approach to replace the traditional flatten one in stream applications. Furthermore, we develop an analytical algorithm to find the optimal FIFO capacity to connect multiple modules efficiently. Finally, we prove the advantages of the proposed method and the feasibility of our algorithm in seven real applications. Experimental results show that the hierarchical approach can have an up to 10.43 times speedup compared to the flatten design, while our analytical FIFO sizing algorithm shrinks design time from hours to seconds with the same accuracy compared to the simulation based approach.

关键词： Algorithm design and analysis Clocks Equations transform coding Throughput Analytical models Hardware

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Performance evaluation of Jpeg2000 implementation on VLIW cores, SIMD cores and multi-cores

Performance evaluation of Jpeg2000 implementation on VLIW co...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Francesco Menichelli Mauro Olivieri Simone Smorfa Department of Electronic Telecommunication and Information Engineering University of Roma La Sapienza Italy

System-on-chip market relies on implementing multimedia products as embedded software modules on re-usable architecture platforms. The efficient implementation of the Jpeg2000 encoder engine is still challenging HW and SW developers with its highly complex computational kernel. While several hardwired Jpeg2000 enconding modules exist, the efficient programming of Jpeg2000 on re-usable embedded high-performance cores is still an open issue. We performed an exhaustive analysis of the attainable execution speedup when specialized SW is run on different architectures built upon a multimedia-oriented VLIW processor core, demonstrating that the compression effort can be reduced by more than 50% if a SIMD-extended architecture is adopted, and by 80% when the code is optimized for a multi-core architecture.

关键词： transform coding Discrete wavelet transforms VLIW Optimization Runtime Arrays

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JPEG steganalysis with high-dimensional features and accuracy

JPEG steganalysis with high-dimensional features and accurac...

引用

International Conference on Computer and Communications Security (ICCCS)

作者： K. Rajasri T. Indhumathi Christ College of Engineering and Technology Puducherry India

The robust technique to steganalyse the jpeg images is projected. The planned steganalytic idea is consisted of three sections: Feature extraction, Bayesian ensemble classifier and analysis. In the initial section, high-dimensional feature vector is computed for every JPEG picture within a training set. Training set contains the samples of original plus stego images. In the second fraction, family unit of sub-classifiers which is trained on the feature vectors will be incorporated to formulate optimized decisions used for doubtful images. This is done via Bayesian system. Bayesian classifier is an easy probabilistic classifier. Bayesian classifier is built based on applying Baye's theorem with well-built independence assumptions. After classification, analysis is made about the classification. This is to confirm that there is no misclassification in the result. Finally accuracy of the classifier can be calculated using Markov Random Field cliques.

关键词： Feature extraction Discrete cosine transforms transform coding Training Computers Bayes methods Conferences

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Evaluation and comparison of JPEG2000 and vector quantization based onboard data compression algorithm for hyperspectral imagery

Evaluation and comparison of JPEG2000 and vector quantizatio...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shen-En Qian M. Bergeron C. Serele I. Cunningham A. Hollinger Canadian Space Agency Saint Hubert QUE Canada

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L1-optimized linear prediction for light field image compression

L1-optimized linear prediction for light field image compres...

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Picture coding Symposium, PCS

作者： Rui Zhong Shizheng Wang Bruno Cornelis Yuanjin Zheng Junsong Yuan Adrian Munteanu Department of Electronics and Informatics (ETRO) Vrije Universiteit Brussel Brussels Belgium School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781509059676

The advent of consumer-level plenoptic cameras has sparkled the interest towards the design of efficient compression techniques for light field images. State-of-the-art compression systems such as HEVC prove to be inefficient when directly applied on this type of data due to the inherent spatial discontinuities among neighboring microlens images. In this paper, a novel light field image compression system is proposed. The disk-shaped pixel clusters corresponding to each microlens in the light field image are efficiently predicted based on the neighboring disks. In this context, an optimized linear prediction design based on L1 minimization of the residuals is proposed. K-means clustering is employed on training data in order to determine the optimized set of predictors. The experimental results on an extensive set of light field images demonstrate that the proposed coding scheme yields an average of 2.93 dB and 3.22 dB gain in PSNR, and 52.67% and 57.27% average rate savings compared to HEVC and JPEG2000 respectively.

关键词： Image coding transform coding Encoding Cameras Gain Lenses Image resolution

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JPEG Pleno Call for Proposals Responses Quality Assessment

JPEG Pleno Call for Proposals Responses Quality Assessment

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Joao Prazeres Zhe Luo Antonio M. G. Pinheiro Luis A. da Silva Cruz Stuart Perry Universidade da Beira Interior and Instituto de Telecomunicacoes Portugal University of Technology Sydney Australia Universidade de Coimbra and Instituto de Telecomunicações Portugal

In this paper, the quality evaluation of the responses to the Call for Proposals (CfP) of JPEG Pleno Point Cloud coding is presented. Three responses to the CfP were evaluated together with the state of the art anchor codecs G-PCC and VPCC from MPEG. The JPEG committee selected a set of eight point clouds that were encoded at different pre-established bitrates. For the subjective evaluation of the responses to the CfP, a set of video sequences were created where the reference and distorted decoded point clouds were rotated about their axes side by side. Furthermore, the objective quality metrics PCQM, PSNR D1, PSNR D2, PSNR Y and PSNR YUV were computed, and compared with the subjective evaluation results. This study revealed that the deep learning solutions outperformed G-PCC but were still below the performance of V-PCC regarding color representation. PCQM showed the best performance in predicting the compression quality.

关键词： Point cloud compression Measurement Deep learning Video sequences transform coding Signal processing Encoding

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Web-based Medical Image Archiving and Communication System for Teleimaging

Web-based Medical Image Archiving and Communication System f...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Piyamas Suapang Surapun Yimmun Apicha Puditkanawat Biomedical Instrumentation Program Department of Physics Rangsit University Pathumthani Thailand Department of Industrial Physics and Medical Instrumentation King Mongkut's University of Technology North Bangkok Bangkok Thailand Rajamangala University of Technology Pathumthani Thailand

The design and implementation of Web-based Medical Image Archiving and Communication System for Teleimaging which was developed using software such as Borland C++ Builder 5.0, MyDAC, PHP, Apache and MySQL for image acquisition system, image viewer and web-based information system. The system provides the following facilities: (1) Image acquisition system can connect and display medical image signal from endoscope in real-time and it can save single frame in .bmp, .jpg, .jpg2, .avi and .dcm file format into database system. (2) Image viewer is developed for DICOM viewing and image processing based on local contrast enhancement, adaptive interpolation technique, colour transformation and cine loop. (3) Web-based information system developed under a cooperation effort between Rangsit University and Hospital. It presents a set of tools that allow physician to manipulate and annotate images. The results shown that the system enables physician to store, display, retrieve and transmit medical images throughout interfaces that are used to present data to the user via a choice of viewing tools.

关键词： DICOM transform coding Image coding Servers Medical services Medical diagnostic imaging

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Adaptive multi-dimension sparsity based coefficient estimation for compression artifact reduction

Adaptive multi-dimension sparsity based coefficient estimati...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Jing Mu Xinfeng Zhang Ruiqin Xiong Siwei Ma Wen Gao Institute of Digital Media Peking University Beijing China Rapid-Rich Object Search (ROSE) Lab Nanyang Technological University Singapore

ISBN: (纸本)9781467372596

Sparsity has shown promising results in various image restoration applications. Recent advances have suggested that structured or group sparsity often leads to more powerful results in compression artifact reduction studies. In this paper, we introduce nonlocal multi-dimension sparsity in an adaptive space-transform domain, which performs multi-scale wavelet transform on DCT coefficients of similar patches. The new transform efficiently reduces image redundancies between inner block and inter block simultaneously, thus it can substantially achieve sparse representation for images. Furthermore, a band-based filter is proposed to reduce compression artifacts by shrinking transform coefficients adaptively. Because of the overlapped processing, adaptive aggregation is used to combine different estimates for each block. The proposed algorithm achieves improvement over some methods in terms of both objective and subjective qualities.

关键词： Image coding Discrete cosine transforms Wavelet transforms transform coding Estimation Redundancy

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A single-chip MPEG2 video decoder LSI

A single-chip MPEG2 video decoder LSI

引用

IEEE International Conference on Solid-State Circuits (ISSCC)

作者： T. Demura T. Oto K. Kitagaki S. Ishiwata G. Otomo S. Michinaka S. Suzuki N. Goto M. Matsui H. Hara T. Nagamatsu K. Seta T. Shimazawa K. Maeguchi T. Odaka Y. Uetani T. Oku T. Yamakage T. Sakurai Toshiba Corporation Kawasaki Japan

This MPEG2 video decoder LSI decodes MPEG2 standard bit streams. The compression algorithm in the MPEG2 is based on discrete cosine transform (DCT), variable length coding, and motion compensation similar to the MPEG1, the earlier standard. However, the processing speed should be more than four times faster than MPEG1. Moreover, several algorithms and structures to handle interlaced pictures are added to the MPEG1 standard. This LSI decodes in real time all motion-compensation modes and picture structures in MPEG2 bit streams of not only CCIR601 but also HDTV resolution.< >

关键词： Decoding Large scale integration Reduced instruction set computing transform coding Discrete cosine transforms Displays Video compression Image reconstruction Streaming media Buffer storage

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Steganography Detection by Means of Neural Networks

Steganography Detection by Means of Neural Networks

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International Workshop on Database and Expert Systems Applications

作者： Zuzana Oplatkova Jiri Holoska Ivan Zelinka Roman Senkerik Faculty of Applied Informatics Tomas Bata University Zlin Zlin Czech Republic

Cryptography is one of very much spoken word nowadays. Security of messages transfer is very important and specialists have a work to think a new cryptography up. Cryptography, on the other hand, can be and is very often used by jailbirds, so cryptanalysts have also very important job to detect and reveal and then decode the coded messages. Steganography is additional method leading to better secure up messages which goes hand by hand with cryptography, that why reveal of such a message is not easy. This paper deals with neural network models that are able to detect steganography content coded by a program OutGuess. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this article show that used model had almost 100% success in revealing steganography by means of OutGuess.

关键词： Artificial neural networks Training Cryptography Encoding transform coding Data mining Feedforward neural networks

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