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检索条件"任意字段=4th Conference on Mathematics of Image and Data Coding, Compression, and Encryption"

共 249 条记录，以下是131-140 订阅

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the Analysis and Improvement of Huffman Algorithm

The Analysis and Improvement of Huffman Algorithm

引用

2011 4th IEEE International conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Ting HE Jian LI Yingjia LI Yang LI College of Computer Science and Technology Beijing University of Technology

ISBN: (纸本)9781612848334

As the most common long-lossless compression algorithm, Huffman coding plays an important role in the data compression field. Huffman coding, for the code elements of uneven distribution, with a higher compression ratio, But for the even distribution, the compression rate is lower. In this paper, according to cryptography encryption and decryption methods, a new strategy is referred to alter the distribution of its code elements to uneven distribution and improve the Huffman tree method, in order to raise the compression ratio.

关键词： Huffman coding data compression binary tree

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An Improved Prediction Tree compression Applied on Hyperspectral image

An Improved Prediction Tree Compression Applied on Hyperspec...

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2011 International conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Wang Lang Fan Shengli Information branch Ningbo Institute of Technology of Zhejiang University

ISBN: (纸本)9781510811249;1510811249

this paper proposes a new recursive prediction tree method for hyperspectral image *** compression is achieved by using a novel four side neighborhood prediction tree for spatial and bidirectional interband prediction for spectral decorrelation followed by SPIHT algorithm for coding the resulting decorrelated residual images. the key feature of the new method is that it presents a recursive algorithm to reduce the interband correlation of hyperspectral image. this algorithm overcomes the drawbacks of one-sided prediction and coding noise accumulation in DPCM, and also overcomes the disadvantages of computation complexity in the CALIC and VQ-based methods. In addition, with this improved prediction tree algorithm, both spectral and spatial correlations inherent in hyperspectral images are exploited. the high compression performances are maintained. In order to evaluate the effectiveness of the proposed method, the computer simulations are conducted on NASA AVIRIS data. the experimental results indicate that the new method provides significant improvement over up to date method for hyperspectral image compression in both objective and subjective measures. While the average compression ratio (CR) is increase compared with SLSQ, 3D-CALIC and SPIHT. the effect of compression on classification is negligible compared with the results of the original image classification.

关键词： hyperspectral image prediction tree

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iCostale: Adaptive Cost Optimization for Storage Clouds

iCostale: Adaptive Cost Optimization for Storage Clouds

引用

IEEE International conference on Cloud Computing, CLOUD

作者： Sandip Agarwala Divyesh Jadav Luis A. Bathen IBM Almaden Research Center San Jose CA USA University of California Irvine CA USA

the unprecedented volume of data generated by contemporary business users and consumers has created enormous data storage and management challenges. In order to control data storage cost, many users are moving their data to online storage clouds, and applying capacity usage reducing data transformation techniques like de-duplication, compression, and transcoding. these give rise to several challenges, such as which cloud to choose, and what data transformation techniques to apply for optimizing cost. this paper presents an integrated storage service called 'iCostale' that reduces the overall cost of data storage through automatic selection and placement of users' data into one of many storage clouds. Further, it intelligently transforms data based on its type, access frequency, transformation overhead, and the cost model of the storage cloud providers. We demonstrate the efficacy of iCostale through a series of micro- and application-level benchmarks. Our experimental results show that, through intelligent data placement and transformation, 'iCostale' can reduce overall cost of data storage by more than 50%.

关键词： Pricing Cloud computing data models image coding Computational modeling Memory Optimization

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compression scheme of sub-image transformed elemental images based on residual images in 3D computational integral imaging systems

Compression scheme of sub-image transformed elemental images...

引用

conference on mathematics of data/image coding, compression, and encryption with Applications XII

作者： Yoo, Cheol-Hwa Kang, Ho-Hyun Kim, Eun Soo Kwangwoon Univ Dept Elect Eng Display Res Ctr 3D Seoul 139701 South Korea

ISBN: (纸本)9780819482952

In this paper, we proposed a highly enhanced compression scheme of the integral imaging (InIm) applying to the residual image (RI) array transformed from Sub-image Array (SIA). In the pickup process, the object through the virtual pinhole array is recorded in a computer as Elemental image Array (EIA). then, SIA is generated from EIA. It provides enhanced compression efficiency by improving the similarity between sub-images (SIs). In the proposed scheme, the reference image is the first one of rearranged SIs based on spiral scanning topology and the RIs are generated from difference between reference image and SIs. Finally, we model the reference image and RIs in InIm as consecutive frames in a moving picture. therefore, the video compression scheme such as MPEG-4 can be applied to data reduction of the consecutive frames. Experimental results are presented to illustrate the image quality of MPEG-4 and JPEG with the same compression rate. Some experiment is carried out and compression efficiency of the proposed scheme has been improved 296.02% in average according to the each quality factor.

关键词： integral imaging compression elemental images sub-image transform

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A high payload data hiding scheme for color image based on BTC compression technique

A high payload data hiding scheme for color image based on B...

引用

International conference on Genetic and Evolutionary Computing

作者： Chou, Yung-Chen Chang, Hon-Hang Department of Computer Science and Information Engineering Asia University Taichung 41354 Taiwan Department of Photonics and Communication Engineering Asia University Taichung 41354 Taiwan

ISBN: (纸本)9780769542812

In the daily life, secret data delivery is an important application for private communication among parties over computer networks. data embedding technique is a good way to achieve the secret data delivery. A color image is a popular cover medium used to send the secret. Block truncation coding (BTC) is a lossy image compression method, which can significantly reduce the image size. In this paper, a novel data embedding method is proposed to conceal secret data into color BTC compression code. To compare with Chang et al.'s method, the proposed method can effectively generate a common bitmap for saving the size of the compressed image. Furthermore, the proposed method can conceal more than four secret bits into a block in average. From experimental results, the proposed method not only successful achieves the goal of secret data delivery but also significantly reduces the cost of common bitmap generation. © 2010 IEEE.

关键词： Color

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A simple image encoding method with data lossless information hiding 10

A simple image encoding method with data lossless informatio...

引用

4th International conference on Uniquitous Information Management and Communication, ICUIMC'10

作者： Wang, Zhi-Hui Chang, Chin-Chen Li, Ming-Chu Lu, Tzu-Chuen School of Software Dalian University of Technology Liaoning China Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan Department of Information Management Chaoyang University of Technology Taichung Taiwan

ISBN: (纸本)9781605588933

In this paper, we propose a simple reversible data hiding method in the spatial domain for block truncation coding (BTC) compressed grayscale images. the BTC method compresses a block of a grayscale image to a bitmap and a pair of quantization numbers. the proposed method first embeds secret bits into a block by changing the order of those two quantization numbers. the compression rate is not enlarged by this embedding scheme. To further improve the hiding capacity, the proposed method embeds the secret bits into the bitmap of the block by exploiting the correlation characteristic of neighboring blocks' bitmap in natural images. the experimental results show that the proposed method achieves very good hiding capacity at low compression rate. © 2010 ACM.

关键词： Steganography

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Joint Video compression and encryption using Arithmetic coding and chaos

Joint Video Compression and Encryption using Arithmetic Codi...

引用

International conference on Internet Multimedia Services Architecture and Applications, IMSAA

作者： Amit Pande Joseph Zambreno Prasant Mohapatra Department of Computer Science University of California Davis CA USA Electrical and Computer Engineering Iowa State University Ames IA USA

Joint Video compression and encryption (JVCE) has gained increased attention in the past couple of years to reduce the computational complexity of video compression, as well as provide encryption of multimedia content for web services. In this paper, we present a JVCE framework based on Binary Arithmetic coding (BAC). We first present an interpretation of BAC in terms of a skewed binary map and then describe 7 other possible chaotic maps which give similar Shannon optimal performance as BAC. We then propose a modification of BAC in which the overall length within the range (0, 1) allocated to each symbol is preserved, but the choice of map used to encode each symbol is based on a key. the encoder, referred to as Chaotic Binary Arithmetic Coder (CBAC), has the effect of scrambling the intervals without making any changes to the width of interval in which the codeword must lie, thereby allowing encryption without sacrificing any coding efficiency. We also present some some security enhancement features to show how they can alleviate the limitations of our technique against known cryptanalysis on BAC-based encryption schemes.

关键词： Encoding encryption Multimedia communication Streaming media image coding

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Low power compression of EEG signals using JPEG2000

Low power compression of EEG signals using JPEG2000

引用

International conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth

作者： Garry Higgins Brian Mc Ginley Martin Glavin Edward Jones Bioelectronics Research Cluster NCBES National University of Ireland Galway Galway Ireland

this paper outlines a scheme for compressing EEG signals based on the JPEG2000 image compression algorithm. Such a scheme could be used to compress signals in an ambulatory system, where low-power operation is important to conserve battery life; therefore, a high compression ratio is desirable to reduce the amount of data that needs to be transmitted. the JPEG2000 specification makes use of the wavelet transform, which can be efficiently implemented in embedded systems. the standard was broken down to its core components and adapted for use on EEG signals with additional compression steps added. Variations on the components were tested to maximize compression ratio (CR) while maintaining a low percentage root-mean-squared difference (PRD) and minimize power requirements. Initial tests indicate that the algorithm performs well in relation to other EEG compression methods proposed in the literature.

关键词： Electroencephalography Transform coding image coding Patient monitoring Energy consumption Testing Medical services Remote monitoring Electric variables measurement Chromium

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Watermark Embedding by Geometric Warping after Novel image Moment-Based Normalization

Watermark Embedding by Geometric Warping after Novel Image M...

引用

International conference on Multimedia and Ubiquitous Engineering (MUE)

作者： Mathias Schlauweg Dima Pröfrock Erika Müller Faculty of Computer Science and Electrical Engineering University of Rostock Rostock Germany

Previous works have shown that the geometric structure of images and videos is a suitable embedding domain for watermark information. Using geometric warping data can be embedded very robust against even strong lossy compression. But, since the promising previous approach is based on a fixed pixel raster, the watermark extraction is fragile when rotation, scaling, translation, or shearing with unknown parameters is applied. To improve the previous work the image or video frame geometry has to be automatically resynchronized before watermark extraction. For that, in this paper, the geometric warping-based watermarking is extended by a novel image moment-based geometric normalization. the improved system is tested extensively and it is shown that the watermark data is robust against strong lossy image and video compression, noise, changes of luminance and contrast as well as scaling, rotation, translation, and shearing.

关键词： Watermarking Robustness Videos Bit error rate Pixel Noise image coding

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Efficient medical image transformation method for lossless compression by considering real time applications

Efficient medical image transformation method for lossless c...

引用

International conference on Signal Processing and Communication Systems, ICSPCS

作者： Farshid Sepehrband Mohammad Mortazavi Seyed Ghorshi Jeiran Choupan School of Science and Engineering Sharif University of Technology Iran

Medical images contain human body pictures and used widely in diagnosis and surgical purposes. compression is needed for medical images for some applications such as profiling patient's data or transmission systems Due to the importance of the information of medical images, lossless or visually lossless compression preferred. Lossless compression mainly consists of transformation and encoding steps. On the other hand, hardware implementation of lossless compression algorithm accelerates real time tasks such as online diagnosis and telemedicine. Lossless JPEG, JPEG-LS and lossless version of JPEG2000 are few well known methods for lossless compression. this paper is focused on the transformation step of compression and introduced a new transformation which is efficient in both entropy reduction and computational complexity. A new method is then achieved by improving the perdition model which is used in lossless JPEG. Our new transformation increases the energy compaction of prediction model and as a result reduces entropy value of transformed image. However, our new method is low complex. After a mathematical proof for efficiency of the new method, it is applied to more than hundreds of test-cases and the results are compared with previous methods and it shows about 8 percent improvement in average. As a result, the new algorithm shows a better efficiency for transforming lossless medical images, especially for online applications.

关键词： image coding Transform coding Entropy Compaction Biomedical imaging Pixel Discrete wavelet transforms

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