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1st IEEE International conference on Consumer Electronics - Berlin, ICCE-Berlin 2011

ISBN: (纸本)9781457702341

The proceedings contain 89 papers. The topics discussed include: a nano-sensor platform utilizes tablet computer for biomedical signal processing;novel INTRA modes with temporal-spatial prediction for H.264/AVC;edge adaptive deblocking method in the satellite image for real-time application;real-time Ethernet for automotive applications: a solution for future in-car networks;unequal error protection of H.264 scalable video coding using discrete wavelet transform within a lognormal shadowing environment;non-energy related policy options to foster eco-design of electronics products;remotely powered sensor network over CATV infrastructure;super resolution via database-free texture synthesis;the VP8 video codec - overview and comparison to H.264/AVC;improved video compression technology and the emerging high efficiency video coding standard;and security analysis of authentication protocols for next-generation mobile and CE Cloud services.

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Compressive sensing in through-the-wall radar imaging

Compressive sensing in through-the-wall radar imaging

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Michael Leigsnering Christian Debes Abdelhak M. Zoubir Signal Processing Group Technische Universität Darmstadt Darmstadt Germany

High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstruction of the scene of interest. For practical TTWRI systems it is imperative to reduce the number of samples to cut down on hardware cost and/or acquisition time. This can be achieved by employing compressive sensing (CS). Existing approaches imply a point target assumption, which may not hold in practical applications. We apply a novel CS approach for TTWRI using the 2D discrete wavelet transform to sparsify images. In this fashion, we overcome the above stated limitation and are able to deal with extended targets. Experimental results show that high image qualities are obtained, similar to images generated using the full measurement set.

关键词： Arrays Radar imaging Discrete wavelet transforms Compressed sensing Array signal processing Equations Wideband

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Heterogeneous Approach of Quality Preserving image Compression Technique Using wavelet and Contourlet Based Interpolation

Heterogeneous Approach of Quality Preserving Image Compressi...

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2011 International conference on signal,image processing and applications（ICSIA 2011）

作者： Benjamin Joseph A Baskaran R Karthigadevi S Computer Science Department Anna University

In this paper heterogeneous approach of feature preserving lousy image compression using wavelet and Contourlet based interpolation techniques are incorporated to elevate the compression ratio and PSNR at the *** this approach edges are transmitted to the receiver as header information to preserve the high frequency details of the *** edge image is obtained from the original image using basic wavelet *** the original image is domain transformed using wavelet transform which has multi-resolution capability at'n'number of orientations and then wavelet coefficients are encoded using zero tree *** compressed image is reconstructed at the receiver using Contourlet based interpolation technique to extract the loss of pixel values while *** valuable parameter such as Compression Factor and Peak signal to Noise Ratio are *** performance table is provided in comparison of the proposed method with the existing method of edge preserving image compression indicating the superior performance of the proposed technique in comparison with existing technique.

关键词： Compression Factor,Edges,Adaptive wavelet Transform,Edge detectors,Contourlet Transform.

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Child face detection using age specific luminance invariant geometric descriptor

Child face detection using age specific luminance invariant ...

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IEEE International conference on signal and image processing applications (ICSIPA)

作者： Mofakharul Islam Paul Watters John Yearwood Internet Commerce Security Laboratory University of Ballarat Ballarat VIC Australia School of Science Information Technology and Engineering University of Ballarat Ballarat VIC Australia

While considerable research have been conducted on age-wise age estimation using skin detection most often with other visual cues, relatively little research has looked closely at the subject. In this paper, we present a new framework for interpreting facial image patterns that can be employed in categorical age estimation. The aim is to propose a novel approach to investigate and implement a child face detection technique that is able to estimate age categorically - adult or child based on a new hybrid feature descriptor. The novel hybrid feature descriptor LIGD (the luminance invariant geometric descriptor) is composed of some low and high level features, which are found to be effective in characterizing the local appearance. In local appearance estimation, chromaticity, texture, and positional information of few facial visual cues can be employed simultaneously. Compared to the results published in a recent work, our proposed approach yields the highest precision and recall, and overall accuracy in recognition.

关键词： Skin image color analysis Face Estimation Feature extraction Humans Discrete wavelet transforms

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Mathematical Model for Detection of Dissimilar Patterns of Speech signal of Chhattisgarhi Dialects using wavelet Transformation

Mathematical Model for Detection of Dissimilar Patterns of S...

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2011 International conference on signal,image processing and applications（ICSIA 2011）

作者： Madhuri Gupta Akhilesh Tiwari S.S.C.E.T Bhilai(Chhattisgarh)

This paper will presents a mathematical model of finding a relations between dissimilar speeches signals which are speaker independent taken from common set of samples of Chhattisgarhi language and dialects commonly spoken at different regions of *** objective of this paper is to detect similar and dissimilar patterns of different Chhattisgarhi dialects through wavelet analysis methods which are useful for complex speech signal analysis.

关键词： Speech Recognition,Speech parameterization,wavelet transformation.

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Fast identification of JPEG 2000 images for digital cinema profiles

Fast identification of JPEG 2000 images for digital cinema p...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Osamu Watanabe Takahiro Fukuhara Hitoshi Kiya Department of Electronics & Computer Systems Takushoku University Hachioji Tokyo Japan CPDG PSG Sony Corporation Atsugi Kanagawa Japan Department of Information and Communication Systems Engineering Tokyo Metropolitan University Hino Tokyo Japan

ISBN: (纸本)9781457705380

A method for identifying JPEG 2000 images with different coding parameters, such as DWT-filters, code-block sizes, quantization step sizes, and resolution levels, is presented. The proposed method does not produce false-negative matches regardless of the different coding parameters. Moreover, the proposed method is fast because it uses the number of zero-bit-planes. This number can be extracted from the JPEG 2000 codestream by only parsing the header information. Experimental results showed the effectiveness of the proposed method for digital cinema applications.

关键词： Transform coding Discrete wavelet transforms image coding Databases Motion pictures image resolution Decoding

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Design and implementation of real-time image watermarking

Design and implementation of real-time image watermarking

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IEEE International conference on signal processing, Communications and Computing (ICSPCC)

作者： Amit M Joshi Anand Darji Vivekanand Mishra Electronics Department SVNIT Surat India

The digital watermarking is a multimedia technology for information hiding which provides the authentication and copyright protection. The digital images are easily exchanged through internet and threaten to some malicious attacks. wavelet based frequency domain watermarking provides the robustness against different attacks. Bit plane slicing scheme of spatial domain watermarking provides lesser computational complexity suitable for real time implementation. We combine advantages of the both the domains for the proposed algorithm. We have developed algorithm for robust and invisible application where we used non blind detection scheme. This approach is also implemented on FPGA. Several software implementations of the watermarking algorithms are available, but very few attempts have been made for hardware implementations. Software based watermarking schemes are more prone to offline attacks due to the delay between image captured and embedding the watermark. Hardware based watermarking provides real time embedding process where watermark is embedded at the same time when image is captured. This is very much useful in applications like real-time broad casting, video authentication and secure camera system for courtroom evidence. The goal of hardware implementation is to achieve low-power, high-performance, real-time, reliable and secure watermarking systems using FPGA.

关键词： Watermarking Discrete wavelet transforms Hardware Real time systems Field programmable gate arrays

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Automatic Selection of Control Points for Remote Sensing image Registration Based on Multi-Scale SIFT

Automatic Selection of Control Points for Remote Sensing Ima...

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2011 International conference on signal,image processing and applications（ICSIA 2011）

作者： Ibrahim El rube Maha Sharkas Ahmed Salman Ashor Salem Taif University Arab Academy for Science Technologyand Maritime Transport

In this paper,we present an automated image registration algorithm,which combines the multiscale wavelet transform(WT)with Scale Invariant Feature Transform(SIFT).The control points are selected using three levels ***,the image is decomposed into multi-scale levels using WT,then low frequency(approximation)images are input to SIFT algorithm for automatically obtaining control *** results show the efficiency and the accuracy of the proposed technique for selecting enough and correct control points.

关键词： image registration,SIFT,wavelet transform,correspondence points.

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A HIGH-PERFORMANCE ARCHITECTURE OF JPEG2000 ENCODER

A HIGH-PERFORMANCE ARCHITECTURE OF JPEG2000 ENCODER

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European signal processing conference

作者： Damian Modrzyk Michal Staworko Institute of Telecommunications Warsaw University of Technology

This article presents hardware architecture of JPEG2000 encoder core, oriented for HD video broadcast and surveillance applications. Thanks to developed efficient 2-D DWT engine that is capable of computing four coefficients per clock cycle, and adopted two EBCOT TIER-1 modules, with smart switching of the channels, the maximum compression speed of 180 Msamples/s at 100 MHz, in lossy mode is achieved. The architecture is implemented in VHDL and synthesised for FPGA devices, and ASIC 0.13 μm CMOS technology. Performance simulations, conducted on a set of natural images and video sequences, have revealed that the encoder is capable of processing 1080p 4:4:4 signal with a speed of 30 frames per second. Additionally, an excellent quality of reconstructed images has been observed, with respect to the reference, software encoder.

关键词： Transform coding Discrete wavelet transforms image coding Encoding Quantization (signal) Hardware

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image AND AUDIO-SPEECH DENOISING BASED ON HIGHER-ORDER STATISTICAL MODELING OF wavelet COEFFICIENTS AND LOCAL VARIANCE ESTIMATION

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INTERNATIONAL JOURNAL OF waveletS MULTIRESOLUTION AND INFORMATION processing 2010年第6期8卷 987-1017页

作者： Kittisuwan, Pichid Chanwimaluan, Thitiporn Marukatat, Sanparith Asdornwised, Widhyakorn Chulalongkorn Univ Fac Engn Dept Elect Engn Bangkok 10330 Thailand

At first, this paper is concerned with wavelet-based image denoising using Bayesian technique. In conventional denoising process, the parameters of probability density function (PDF) are usually calculated from the first few moments, mean and variance. In the first part of our work, a new image denoising algorithm based on Pearson Type vii random vectors is proposed. This PDF is used because it allows higher-order moments to be incorporated into the noiseless wavelet coefficients' probabilistic model. One of the cruxes of the Bayesian image denoising algorithms is to estimate the variance of the clean image. Here, maximum a posterior (MAP) approach is employed for not only noiseless wavelet-coefficient estimation but also local observed variance acquisition. For the local observed variance estimation, the selection of noisy wavelet-coefficient model, either a Laplacian or a Gaussian distribution, is based upon the corrupted noise power where Gamma distribution is used as a prior for the variance. Evidently, our selection of prior is motivated by analytical and computational tractability. In our experiments, our proposed method gives promising denoising results with moderate complexity. Eventually, our image denoising method can be simply extended to audio/speech processing by forming matrix representation whose rows are formed by time segments of digital speech waveforms. This way, the use of our image denoising methods can be exploited to improve the performance of various audio/speech tasks, e.g., denoised enhancement of voice activity detection to capture voiced speech, significantly needed for speech coding and voice conversion applications. Moreover, one of the voice abnormality detections, called oropharyngeal dysphagia classification, is also required denoising method to improve the signal quality in elderly patients. We provide simple speech examples to demonstrate the prospects of our techniques.

关键词： Pearson Type vii random vectors image denoising wavelet transforms

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