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检索条件"主题词=transform coding"

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Web-based Medical Image Archiving and Communication System for Teleimaging

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

引用

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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Robustness and repeatability of saliency models subjected to visual degradations

Robustness and repeatability of saliency models subjected to...

引用

IEEE International Conference on Image Processing

作者： Olivier Le Meur University of Rennes I Rennes France

The present study investigates the sensitivity of computational models of visual attention when subjected to visual degradations. One hundred and twenty natural color pictures were degraded using 6 filtering operations. By using different settings, five state-of-the-art models are used to compute 11400 saliency maps. The comparison of these maps to human saliency maps indicates that the tested models are robust to most of the visual degradations they were subjected to. These findings have implications on saliency-based applications, such as quality assessment and coding. A last point concerns the high repeatability of saliency models that might be used in a context of image retrieval.

关键词： Visualization Degradation Computational modeling Humans Image coding transform coding Noise

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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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Modeling and FPGA implementation of reconfigurable transcoder for real time video adaptation

Modeling and FPGA implementation of reconfigurable transcode...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Eric Dabellani Hassan Rabah Nicolas Marques Yves Berviller Slavisa Jovanovic Serge Weber University of Lorraine Institut Jean Lamour (IJL) Nancy France

Video adaption is one of the main solutions to offer access to the large array of existing multimedia contents and the variety of terminals and networks. This adaptation can be achieved efficiently using transcoding techniques. The implementation of the various adaptation possibilities and techniques in embedded systems such as home gateway requires flexible and efficient architectures. This paper presents a hardware reconfigurable architecture for the real time adaptation of video contents for different terminals and available bandwidth. This architecture is designed to adapt a compressed stream in advanced video coding standard (H264/AVC) and/or MPEG-2. A system level model of reconfigurable transcoder is developed for IP integration and architectural exploration by taking into account dynamic and partial reconfiguration. The developed simulation model of dynamic partial reconfiguration allowed the early estimation of performances and the design of the suitable solution for the considered transcoding scenarios.

关键词： Transcoding Decoding Streaming media transform coding Computer architecture Hardware Adaptation models

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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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Packet loss concealment in baseline JPEG coded images

Packet loss concealment in baseline JPEG coded images

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IEEE Symposium on Advances in Digital Filtering and Signal Processing

作者： S. Shirani F. Kossentini R. Ward Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

Loss of coded data can affect a JPEG decoded image to a large extent, making concealment of errors caused by data loss an important issue. Reconstruction of JPEG coded images in an error-prone channel environment is investigated in this paper. First a method for estimating the missing DC coefficients of a JPEG coded image which is required for decoding the compressed image, is suggested and evaluated. As the effects of errors in estimating the missing DC value will appear as stripes across the image, a post-processing technique for removing such stripes is then developed. Finally the missing data is reconstructed by exploiting the correlation between adjacent blocks. A novel reconstruction technique which has a good performance in reconstruction of edges is proposed. A key contribution of our work is that, unlike in previously published reconstruction algorithms, differential encoding of the DC coefficients is assumed. Simulation results indicate that the performance of our algorithm is very good, even when many packets are lost during transmission of the JPEG coded image.

关键词： Decoding transform coding Image reconstruction Image coding Discrete cosine transforms Reconstruction algorithms Computer errors Propagation losses Quantization Entropy coding

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An Improved Interpolative Vector Quantization Scheme Using Visual Pattern (IIVQ)

An Improved Interpolative Vector Quantization Scheme Using V...

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International Conference on Emerging Trends in Engineering and Technology, ICETET

作者： Darshana D. Chaware S. D. Giripunje G.H.Raisoni College of Engineering of Women Nagpur India

In this paper, a new image compression scheme by introducing visual patterns to interpolative vector quantization (IVQ) is proposed. The goal is to introduce visual patterns on designing the codebook, where only removed details that contain visual patterns and their original counterparts as pairs are trained. In the proposed scheme first input images are down-sampled by ideal filter. Then, the down sampled images are compressed lossly by JPEG and transmitted to the decoder. In the decoder side, decoded images are first up-sampled to the original resolution. The codebook is designed using LBG algorithm. One of main contributions in this paper is the Experimental results show: (a) visual pattern blocks are easy to form clusters than original blocks; (b) the proposed scheme achieves much better performance over JPEG in terms of visual quality and PSNR.

关键词： Vector quantization Decoding Image coding Filters Propagation losses transform coding Image resolution Algorithm design and analysis Clustering algorithms PSNR

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A perceptual encryption scheme for Motion JPEG 2000 standard

A perceptual encryption scheme for Motion JPEG 2000 standard

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Osamu Watanabe Takahiro Fukuhara Hitoshi Kiya Dept. of Electronics & Computer Systems Takushoku University Faculty of Info. and Commun. Systems Tokyo Metropolitan University

A new perceptual encryption scheme with an efficient key-management mechanism for the Motion JPEG 2000 based ETC system is proposed in this paper. An ETC system is known as a system that makes image/video communication secure and efficient by using perceptual encryption and image/video compression. Unlike conventional ETC systems, the perceptually encrypted images by the proposed scheme can be efficiently compressed by the Motion JPEG 2000. Moreover, an efficient mechanism to manage a lot of secret keys for video sequences is provided to avoid complex key-management. The experimental results demonstrated that the proposed scheme achieved both acceptable compression performance and enough security for secure image/video communication while remaining compatible with the Motion JPEG 2000 standard.

关键词： Encryption transform coding Image coding Discrete wavelet transforms Video sequences Standards

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Two-dimensional compression of surface electromyographic signals using column-correlation sorting and image encoders

Two-dimensional compression of surface electromyographic sig...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Marcus V. C. Costa Joao L. A. Carvalho Pedro A. Berger Alexandre Zaghetto Adson F. da Rocha Francisco A. O. Nascimento Department of Electrical Engineering University of Brasília-UnB Brasilia Brazil Department of Computer Science University of Brasília-UnB Brasilia Brazil

We present a new preprocessing technique for two-dimensional compression of surface electromyographic (S-EMG) signals, based on correlation sorting. We show that the JPEG2000 coding system (originally designed for compression of still images) and the H.264/AVC encoder (video compression algorithm operating in intraframe mode) can be used for compression of S-EMG signals. We compare the performance of these two off-the-shelf image compression algorithms for S-EMG compression, with and without the proposed preprocessing step. Compression of both isotonic and isometric contraction S-EMG signals is evaluated. The proposed methods were compared with other S-EMG compression algorithms from the literature.

关键词： Image coding Sorting Discrete wavelet transforms Wavelet packets Signal processing algorithms Muscles transform coding Automatic voltage control Quantization Pulse modulation

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Learned Image Compression with transformer-CNN Mixed Structures and Spatial Checkerboard Context

Learned Image Compression with Transformer-CNN Mixed Structu...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Kexin Ji College of Computer Science and Soft-ware Engineering Hohai University Nanjing China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Learning-based image compression techniques combined with current transformer models and with checker-board context models have shown the excellent Rate-Distortion performance. However, the mixed structure still has room for optimization in terms of redundancy information and decoding efficiency, while the checkerboard context model has redundancy in capturing correlations between latent represen-tations. To solve these problems, we propose an innovative framework that combines a mixed transformer-CNN structure with a checkerboard context model. Specifically, we introduce a “Checkerboard Channel-wise Entropy Module” to improve coding efficiency of utilizing contexts through a two-channel decoding method with checkerboard contexts. Then, we propose the “In-slice Odd-even Context”, which improves the handling of spatial redundancy information by adding additional spatial contexts by introducing a checkerboard context model to the original mixed structure with channel contexts and global con-texts. Extensive experimental results demonstrate that our pro-posed method outperforms JPEG, BPG and previous learned image compression on the Kodak dataset.

关键词： Image coding Current transformers Multimedia systems Redundancy transform coding Rate-distortion Entropy Decoding Optimization Context modeling

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