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Enabling JPEG2000 on 3G wireless mobiles through OMAP™ architecture

Enabling JPEG2000 on 3G wireless mobiles through OMAP™ arch...

引用

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

作者： Marc Peresse Karim Djafarian Jamil Chaoui Daniel Mazzocco Yves Masse European Wireless Terminal Business Unit Texas Instruments France

This paper describes how JPEG2000 still image compression codec will be enabled in the 3G wireless terminals thanks to the efficiency of TMS320C55xx DSP core embedded in the TI OMAP™. OMAP™ H/W architecture will be described, with an emphasis on how still image compression and decompression applications will benefit from this advanced architecture. The paper will also depict the advantages provided by OMAP™s DSP subsystem architecture for the Discrete wavelet Transform (DWT), which is the most computation hungry JPEG2000 kernel. A final chapter will compare bit stream download time and decoding scenarios for compressed QVGA color images.

关键词： Streaming media Variable speed drives image coding 3G mobile communication image edge detection Multimedia communication

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An extension to the analytical Gabor expansion with applications in image coding

An extension to the analytical Gabor expansion with applicat...

引用

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

作者： A. Teuner P.A. Nielsen B.J. Hosticka Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

We present an unified method that can be used to compute analytically the coefficients of the discrete non-orthogonal Gabor expansion for arbitrary type of orthogonal kernel. Based on the proposed algorithm an architecture is derived that enables a fast computation of modified time-frequency transforms such as Gabor-DCT. It is shown that for the special case of equidistant elementary cells the generalized Gabor transform can be modeled as a conventional block transform of modulated and filtered input signals. From this point of view it follows that the biorthogonal analysis window which is used in the modulation necessary for computation of the transform coefficients is independent of the selected orthogonal kernel. The problems caused by the non-stationarity of the modulated and filtered signal are discussed and the coding performance and energy compaction of the classical Gabor transform, the Gabor-DCT, and the well known block DCT are compared.< >

关键词： image analysis image coding Discrete transforms Kernel Discrete cosine transforms signal processing algorithms Gabor filters Frequency Shape Discrete wavelet transforms

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PATCH-BASED FEATURE MAPS FOR PIXEL-LEVEL image SEGMENTATION

PATCH-BASED FEATURE MAPS FOR PIXEL-LEVEL IMAGE SEGMENTATION

引用

European signal processing conference

作者： Shuoying Cao Saadia Iftikhar Anil Anthony Bharath Imperial College London

ISBN: (纸本)9781467310680

In this paper, we describe the use of phase-invariant complex wavelet filters, coupled to a training process involving a small, high-quality training dataset, to build an image segmentation system capable of performing in very low signal-to-noise, and under conditions of strong object-background contrast change. The three main components of our approach are: i) a patch-based feature description of local phase-invariant orientation fields;ii) a priori ground-truth data;iii) a machine learning method, such as Multilayer Perceptron (MLP) or kernel-based Support Vector Machine (SVM), to build an accurate classifier that is customised to the segmentation problem. A key feature of the approach is that it may be easily retrained and is, therefore, more adaptable to different imaging modalities. A representation of phase-invariant local image orientation using geometric algebra is first introduced;this is important to the patch-based approach. The quality of our trained systems is then assessed using Receiver Operating Characteristic (ROC) curves in two different biomedical applications: the human retinal vessel-bed in colour fun-dus images from the publicly available DRIVE database, and the rabbit endothelial cell boundaries of thoracic aorta microscopy images.

关键词： Segmentation Visual features Geometric algebra Multilayer Perceptron Support Vector Machine Microscopy Retinal imaging images image orientation wavelet filter maps master element Support Vector Network

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Matching aerial coastline images with map data using dynamic programming

Matching aerial coastline images with map data using dynamic...

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European signal processing conference (EUSIPCO)

作者： Metin Kahraman Şevket Gümüştekin Department of Electrical Engineering Izmir Institute of Technology Urla Izmir Turkey

Matching aerial images with map data is an important task in several remote sensing applications such as autonomous navigation, cartography, oceanography. The unique and distinctive shapes of coastlines can be effectively utilized to solve this problem. In this study a completely automatic scheme is proposed to detect coastlines using multi-resolution texture analysis and to match the detected coastlines to a map database. A shape matching method using dynamic programming is used and tested on the satellite images of the western coast of Turkey.

关键词： Programming Abstracts Navigation image resolution Discrete wavelet transforms

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ℓ1-adapted non separable vector lifting schemes for stereo image coding

ℓ1-adapted non separable vector lifting schemes for stereo ...

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European signal processing conference (EUSIPCO)

作者： M. Kaaniche B. Pesquet-Popescu J.-C. Pesquet Signal and Image Proc. Department Telecom Paris Tech Paris France LIGM and UMR-CNRS 8049 Champs-sur-Marne Université Paris-Est Marne-la-Vallee France

Due to the great interest of stereo images in several applications, it becomes mandatory to improve the efficiency of existing coding techniques. For this purpose, many research works have been developed. The basic idea behind most of the reported methods consists of applying an inter-view prediction via the estimated disparity map followed by a separable wavelet transform. In this paper, we propose to use a two-dimensional non separable decomposition based on the concept of vector lifting scheme. Furthermore, we focus on the optimization of all the lifting operators employed with the left and right images. Experimental results carried out on different stereo images show the benefits which can be drawn from the proposed coding method.

关键词： image coding Vectors Transforms Optimization Bit rate Joints signal processing

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Performances Improvement of Chaos-Based Robust Digital image Watermarking using Advanced Techniques

Performances Improvement of Chaos-Based Robust Digital Image...

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International conference on image and signal processing and their applications (ISPA)

作者： Redouane KAIBOU Mohamed Salah AZZAZ École Militaire Polytechnique Laboratoire Systèmes Électroniques et Numériques Alger Algérie

ISBN: (纸本)9781728131573

This paper presents a research study leading to a robust chaos-based scheme for digital image watermarking applications in the transform domain. The steps undergone include combining, in a repeating process, three performant conventional mathematical transforms of Direct Cosine Transform (DCT), Discrete wavelet Transform (DWT) and variants with three different state-of-the-art advanced techniques namely Discrete Curvelet Transform (DCuT), Discrete Radon Transform (DRaT) and Finite Ridgelet Transform (FRT). Results have shown a neat improvements in watermarking imperceptibility and robustness each time especially after including Singular Value Decomposition (SVD) which has enhanced embedding capability as well. Methods evaluation has followed an exhaustive series of performed tests that applied a range of evaluation metrics for imperceptibility. In addition, Robustness of the final scheme has also been confirmed by applying a variety of attacks on the resulting images. Finally, security aspect has also been improved after a comparative implementations of popular four chaotic models namely Arnold Cat Map (ACM), Lorenz Cat Map (LCM), Rossler Cat Map (RCM) and Genesio-Tesi Cat Map (GTCM) respectively producing secure images encryption levels. All Implementations have been validated using a sufficent number of color image from a large dataset.

关键词： image watermarking Transform domain Advanced techniques Chaotic encryption digital image watermarking advanced technologies chaotic encryption Transform Cats MAPPING(MATHEMATICAL) maps color image Singular value decomposition

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The visual detection of bullet holes in a target

The visual detection of bullet holes in a target

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International conference on signal processing Proceedings (ICSP)

作者： Shao Yafei Zhang Li Wu Guowei Department of Electronic Engineering Tsinghua University Beijing China

The visual detection of bullet holes in a target image usually can be formulated as a problem of how to exactly locate in an image the isolated and overlapping spots, which are treated as structures without inner detail and texture. In this paper we present a model based on a feedback algorithm to deal with this problem and take full consideration of the gradient information and the various size and background. Experiments show it works well and achieves high reliability in real applications.

关键词： Feedback Background noise Abstracts Inspection Noise shaping wavelet transforms Information filtering Information filters Matched filters Gaussian noise

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Enhancement of latent fingerprints on banknotes using monogenic wavelets

Enhancement of latent fingerprints on banknotes using monoge...

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International conference on signal processing and Communications, SPCOM

作者： Parmeshwar Birajadar Varun Patidar Pushkaraj Shirvalkar Shubham Gupta Vikram Gadre Department of Electrical Engineering IIT Bombay Mumbai India

ISBN: (纸本)9781509017478

Latent fingerprints on banknotes provide valuable information in forensic applications to identify suspects of robbery cases and counterfeiters. The image quality of latent fingerprints is poor due to the complex background of banknotes compared to live-scan images acquired in a controlled environment. An effective orientation field estimation algorithm is necessary for enhancing poor quality latents in the presence of background noise for reliable extraction of minutia features. There have been attempts in the literature to characterize a fingerprint using an AM-FM model. Motivated by the ability of the monogenic signal representation to demodulate such a signal to extract its features, this paper proposes a novel algorithm of latent fingerprint multiresolution orientation estimation with a modified Simoncelli isotropic wavelet design and by an appropriate use of the multiresolution orientation field. Experimental results on synthetic noisy images and real latents from our created latent fingerprint database on banknotes show that the enhanced image quality by using the proposed algorithm is better than the other existing methods for estimating the fingerprint orientation.

关键词： Estimation image resolution signal resolution Two dimensional displays Feature extraction Noise measurement signal representation

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Implementation of barrel distortion correction on DSP in real time

Implementation of barrel distortion correction on DSP in rea...

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International conference on Computing Communication Control and Automation (ICCUBEA)

作者： Prajwal G. Awade Ramakrishna Bodhula Nilkantha Chopade Department of Electronics and Telecommunication Pimpri Chinchwad College of Engineering Pune India Wavelet Technologies Private Limited Pune India

ISBN: (纸本)9781509032921

Camera plays a vital role in intelligent embedded image processing systems. But unlike human eyes, it creates distortions in the image captured, most commonly called as lens distortion. The uneven magnification over the lens surface is responsible for lens distortion. Distortion conveys incorrect information about the coordinates in the image frame with respect to real world coordinates and thus decreases the positional accuracy of the processing in the complete system. In video or image processing applications like motion detection, satellite tracking, automatic vehicle parking, ADAS etc. the lens distortion needs to be eliminated. Hence, to improve accuracy of such applications, implementation of a barrel distortion correction algorithm in real time is presented in this work. The algorithm is implemented on the Analog Devices' BF561 Digital signal Processor for real time distortion correction, and the results are discussed. The results shown include the outputs of algorithm on digital signal processor platform.

关键词： Streaming media Lenses Distortion Hardware MATLAB

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The effect of matching watermark and compression transforms in compressed color images

The effect of matching watermark and compression transforms ...

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IEEE International conference on image processing

作者： R.B. Wolfgang C.I. Podilchuk E.J. Delp Bell Laboratories Lucent Technologies Inc. Murray Hill NJ USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image after compression. image adaptive watermarks are particularly resistant to removal by signal processing attack such as filtering or compression. Common image adaptive watermarks operate in the transform domain (DCT or wavelet); the same domains are also used for popular image compression techniques (JPEG, EZW). This paper investigates whether matching the watermarking domain to the compression transform domain will make the watermark more robust to compression.

关键词： Watermarking image coding Digital images Multimedia systems Protection Internet image databases Adaptive signal processing Adaptive filters Information filtering

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