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检索条件"主题词=transform coding"

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A Robust Watermarking Algorithm Adopting Double Embedding

A Robust Watermarking Algorithm Adopting Double Embedding

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Xiao-hua Qiao Shu-xun Wang Quan Wen Zhao Xu College of Communication Engineering Jilin University Changchun China

In this paper, an adaptive blind watermarking algorithm is proposed, which presents a new method of block classification based on the characteristic of visual masking of HVS (human visual system) model, including energy and variance. According to the new classification method, classify image blocks and select quantization pedometers adaptively to embed the watermark into DC component. At the same time, because of the shortage of watermark intensity only embedded into DC components, the algorithm presents that the same watermark is embedded into mid-frequency subbands by changing the order of these coefficients under invisibility. This is a blind watermarking algorithm, the watermark can be extracted without the original picture needed. Experimental results and attacks analysis show that the proposed algorithm is effective and robust to common image processing and some geometric attacks, such as JPEG lossy compression, scaling, additive noise, rotation, histogram equilibrium, contrast adjusting, brightness adjusting, filtering and so on.

关键词： Watermarking Humans Visual system Quantization Image analysis Algorithm design and analysis Filtering algorithms Noise robustness Image processing transform coding

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Multiple object tracking on static surveillance video using field-based prediction information in MPEG-2 video

Multiple object tracking on static surveillance video using ...

引用

IEEE International Conference on Image Processing

作者： I Gusti Bagus Baskara Nugraha Suwen Weng Hiroyoshi Morita Graduate School of Information Systems University of Electro-Communications Chofu Tokyo Japan

We present new algorithms to detect and track multiple moving objects in a static surveillance video that uses MPEG-2 compression. The algorithm detects moving objects based on the location of field-based motion estimated macroblocks in inter-prediction frames, and tracks their movements along video scene by using an extension of Kalman filter that uses the objects' velocity information. Experiments show that the algorithm outputs highly accurate results in various scenarios.

关键词： Tracking Kalman filters transform coding Prediction algorithms Object detection Image coding Streaming media

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Self-organizing segmentor and feature extractor

Self-organizing segmentor and feature extractor

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IEEE International Conference on Image Processing

作者： R.D. Dony S. Haykin Communications Research Laboratory McMaster University Hamilton ONT Canada

Proposes a novel approach to segmentation using a combination of Hebbian learning and competitive learning in a self-organizing manner. The network is modular, with each module corresponding to a different class of the input data. A module consists of a weight vector that is calculated during an initial training period. The appropriate class for a given input vector is determined by a maximum entropy classifier. The resulting network consistently extracts perceptually relevant features from image data. As well, the class representations are analogous to the arrangement of directionally sensitive columns in the visual cortex.< >

关键词： Feature extraction Entropy Equations Image coding Tellurium Vectors transform coding Image segmentation Distortion Upper bound

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Compressed image quality and Zipf law

Compressed image quality and Zipf law

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International Conference on Signal Processing Proceedings (ICSP)

作者： N. Vincent P. Makris J. Brodier Laboratoire dE28099Infonnatique Université de Tours Tours France

We point out the interest in using Zipf law in the wide field of image analysis. We show how it is possible to adapt it to image analysis. There are many applications; here we are concerned with image compression and focus on a new definition of quality measurement of an image obtained after a decompression process. First we propose a coding mode of an image using some neighborhood of each pixel and the Zipf law. Then some significant comparisons can be achieved between different images. A statistical study of the patterns present in the image allows a characterization of the information contained in the image so that a measurement of information modification is made possible. We define two quantitative parameters; one indicates the structure of the image whereas the second indicates high content information. The examples of the images of a landscape and of a female face are used to illustrate the influence of the compression rate.

关键词： Image coding Image quality Image analysis PSNR Particle measurements Pixel transform coding Pattern analysis Pattern recognition Image recognition

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Improved Disparity Estimation Algorithm with MPEG-2's Scalability for Stereoscopic Sequences

Improved Disparity Estimation Algorithm with MPEG-2's Scalab...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Yun-Jeong Song Yun-Jeong Song Electronics and Telecommunications Research Institute Taejon South Korea

Disparity vectors are used for the reconstruction of the right image sequence from the left one (vice versa) in a 3DTV transmission system, it is replaced the full transmission of both stereo channels by a compensated scheme. An improved matching algorithm for disparity compensated video coding is presented in this paper. The algorithm requires transmitting the same amount of disparity data as the conventional block matching algorithm(BMA) while achieving much higher prediction accuracy by refinement scheme that captures the fine disparity variation between left and right image sequences.

关键词： Stereo image processing Vectors transform coding Estimation Scalability Prediction algorithms Video coding

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Hierarchical vector quantization of perceptually weighted block transforms

Hierarchical vector quantization of perceptually weighted bl...

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Data Compression Conference (DCC)

作者： Navin Chaddha Mohan Vishwanath P.A. Chou Computer Systems Laboratory University of Stanford Stanford CA USA Xerox Palo Alto Research Center Palo Alto CA USA

This paper presents techniques for the design of generic block transform based vector quantizer encoders implemented by table lookups. In these table lookup encoders, input vectors to the encoders are used directly as addresses in code tables to choose the codewords. There is no need to perform the forward or reverse transforms. They are implemented in the tables. In order to preserve manageable table sizes for large dimension VQ's, we use hierarchical structures to quantize the vector successively in stages. Since both the encoder and decoder are implemented by table lookups, there are no arithmetic computations required in the final system implementation. The algorithms are a novel combination of any generic block transform (DCT, Haar, WHT) and hierarchical vector quantization. They use perceptual weighting and subjective distortion measures in the design of VQ's. They are unique in that both the encoder and the decoder are implemented with only table lookups and are amenable to efficient software and hardware solutions.

关键词： Vector quantization Decoding Table lookup Image coding transform coding Distortion measurement Discrete transforms Discrete cosine transforms Application software Computational complexity

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High-speed and low-power real-time programmable video multi-processor for MPEG-2 multimedia chip on 0.6 /spl mu/m TLM CMOS technology

High-speed and low-power real-time programmable video multi-...

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Asia and South Pacific Design Automation Conference

作者： Seung-Min Lee Jin-Hong Chung M.M.-O. Lee Department of Information & Communication Engineering Dong-shin University Naju South Korea

ISBN: (纸本)078035012X

We developed a Video Multi Processor (VMP) for image compression and decompression schemes of MPEG (especially MPEG-2) in this study. The VMP would apply to programmable architecture, various flexibilities to implement real-time image compression algorithm, and other many applications such as DVD-CD ROM authoring tool and videophone/teleconferencing systems. IO architecture of the VMP is designed for the multi-processor functionality in which uses many VMPs according to required arithmetic quantities of the system. Further, the architecture of the VMP system is simplified by processing the necessary peripheral IO system operations within the processor.

关键词： transform coding Image coding Reduced instruction set computing Video compression Streaming media Codecs Signal processing algorithms Arithmetic Process control CMOS technology

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Fast intra mode decision in HEVC using early distortion estimation

Fast intra mode decision in HEVC using early distortion esti...

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IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

作者： Andreas Heindel André Kaup Multimedia Communications and Signal Processing Friedrich-Alexander University Erlangen-Nürnberg (FAU) Erlangen Germany

ISBN: (纸本)9781479919499

The latest video coding standard HEVC has the potential to rapidly conquer many areas of video compression due to the significant boost in coding efficiency compared to its predecessor. Unfortunately there is the drawback that this gain in efficiency comes at the expense of complexity. Encoders have to select the best possible coding mode from a huge set of available modes offered by the standard. In this paper the intra mode selection process is accelerated by early estimation of the distortion introduced by a certain mode, which may be applied in addition to other fast mode decision schemes. Due to the online adaptation of our proposed estimator, the approach is tolerant to different coding settings and input sequences. Using early distortion estimation results in a potential encoder speed-up of 24.83% on average, accompanied by an average bitrate increase of 2.92%.

关键词： Distortion Encoding Estimation transforms transform coding Video coding ISO

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JPEG Image Ciphering Based on Chaotic Encryption

JPEG Image Ciphering Based on Chaotic Encryption

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IEEE International Conference on Image Processing

作者： Meha Hachani Azza Ouled Zaid National Engineering School of Tunis SysCom Laboratory University of Tunis El Manar B.P.37 le Belvédère 1002 Tunis Tunisia

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

This paper proposes a chaos-based encryption method that allows conditional access to privacy-sensitive regions in Joint Photographic Experts Group (JPEG) images. Our goal is to encipher the confidential content in a way that guarantees high resistance to common attacks without severely compromising the encoding speed and bitrate cost. The encryption mechanism comprises two modules: chaotic confusion and diffusion; the first module is governed by means of nonlinear shuffling applied on the quantized AC (Alternating Current) coefficients belonging the region of interest (ROI), while the second module is ruled by means of XOR operation that encrypts the shuffled components using a cumulative one-dimensional chaotic map. The whole cryptosystem is controlled by the chaotic sequences generated by chaotic maps. Experimental results demonstrate that the proposed cryptocompression scheme is proven to be effective in balancing the trade-off between robustness and hiding ability while guaranteeing reversible recovery of the protected data.

关键词： Resistance Visualization Privacy Chaotic communication Bit rate transform coding Metadata

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The Image Forensics Analysis of JPEG Image Manipulation (Lightning Talk)

The Image Forensics Analysis of JPEG Image Manipulation (Lig...

引用

International Conference on Software Security and Assurance (ICSSA)

作者： SeungJu Cha Uijeong Kang EunJung Choi dept. of Information Security Seoul Women's University Seoul South Korea Seoul Women's University Seoul South Korea

ISBN: (数字)9781538692103

ISBN: (纸本)9781538692110

We use pictures as evidence. It is increasingly important to detect the manipulated areas of digital images. But we also face fabricated photographs to distort it. As the days go by, the fabricated image becomes more sophisticated and invisible. Many people have tried to improve image forensics technology to distinguish this fabricated images. In this paper, We investigate how to detect manipulated areas of a digital image like JPEG image format that used lossy compression. We use the features of the lossy compression to detect the manipulated image by the error level analysis(ELA) that is the analysis digital data such as JPEG format. And we're going to show that the Error Level Analysis(ELA) can work as image forensics. Through this analysis, we will be able to better judge manipulated images.

关键词： Image coding transform coding Image color analysis Discrete cosine transforms Digital images Quantization (signal) Image forensics

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