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Matching aerial coastline images with map data using dynamic programming

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

引用

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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An Efficient and Highly Parallel Hyperspectral imagery Compression Scheme Based on Distributed Source Coding

An Efficient and Highly Parallel Hyperspectral Imagery Compr...

引用

Asilomar conference on signals, Systems & Computers

作者： Ngai-Man Cheung Antonio Ortega Signal and Image Processing Institute Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA

This paper extends our previous work on hyperspectral imagery compression based on distributed source coding (DSC). We apply DSC principles to facilitate efficient parallel encoder implementations with moderate memory requirement. Based on our previously proposed wavelet-based DSC framework, we propose a novel adaptive coding scheme that judiciously combines DSC and intra coding tools, taking into account the source statistics and inter-band correlation, as well as the coding gains and limitations imposed by tools. Bits extracted from wavelet coefficients tend to have different statistics and inter-band correlation at different significance levels and in different wavelet subbands. Therefore, it is non-trivial to determine the optimal coding strategy. Toward this we propose modeling techniques to estimate the performance of DSC/intra coding under different bits extraction scenarios. This model is used to define adaptive coding strategies that can optimally incorporate different bit- extraction techniques with DSC/intra coding tools according to the bit significance levels and wavelet subbands. Experimental results demonstrate that adaptive coding can achieve up to 4dB improvement over a non-adaptive system, and the improved DSC-based system is comparable to some 3D wavelet system in terms of coding performance. While we focus on hyperspectral images in this paper, many of the proposed techniques are applicable to other wavelet- based DSC image and video applications.

关键词： Hyperspectral imaging image coding Source coding Adaptive coding wavelet coefficients Statistics Decoding Filtering Memory management signal processing

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image denoising using wavelets: A powerful tool to overcome some limitations in nuclear imaging

Image denoising using Wavelets: A powerful tool to overcome ...

引用

International conference on Information and Communication Technologies: From Theory to applications, ICTTA

作者： K. Nawres H. Kamel E. Noureddine Laboratoire des Systèmes et de Traitement du Signal Ecole Nationale d'Ingenieurs de Tunis Tunisia

In spite of their bad resolution, scintigraphic images are used as an indicator of the functionality of some organs. The drawbacks of this image modality are the bad contrast and resolution of images and the fluctuations due to the Poisson distribution. Instead of increasing the injected dose or increasing the duration exposure of the patient, we propose a method base on image processing to enhance the image quality and decrease fluctuations. The proposed method is based on the adaptive thresholding of the wavelet coefficients combined with the Fisz transform in low count level. Results are considered, by nuclear medicine specialists, interesting with respect to the image quality enhancement while contours and details preservation

关键词： image denoising Nuclear imaging Nuclear medicine Cameras image processing Noise reduction image resolution signal resolution Fluctuations image quality

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SAR image Despeckling Using Local Contextual Hidden Markov Model in the Contourlet Domain

SAR Image Despeckling Using Local Contextual Hidden Markov M...

引用

IEEE International conference on Radar

作者： Shuang Wang Xiao Xu Biao Hou Li Cheng Jiao Institute of Intelligent Information Processing and Key Laboratory for Radar Signal Processing Xidian University Xi'an China

Synthetic aperture radar (SAR) image despeckling is an important problem in the SAR applications. A novel despeckling approach using a local contextual hidden Markov model (LCHMM) in the contourlet domain is presented in this paper. The proposed method can not only use the multiresolution and multidirection characteristics of the contourlet transform, but also exploit the local statistics and capture the intrascale dependencies of the contourlet coefficients by using LCHMM. The experiments in despeckling SAR images show that the proposed method in contrary to other methods can obtain a better trade-off between smoothing the homogeneous areas and keeping the edges and can get better visual effect

关键词： Hidden Markov models Filter bank Synthetic aperture radar signal resolution Multiresolution analysis wavelet transforms Radar signal processing Statistics Smoothing methods Context modeling

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An Analytical Framework for Comparative Analysis of Various Watermarking and Steganographic Techniques

An Analytical Framework for Comparative Analysis of Various ...

引用

Annual conference of Industrial Electronics Society

作者： Ahmad Khalil Khan Habibullah Jamal Department of Electrical Engineering University of Engineering and Technology Taxila Pakistan

The proliferation of digitized media has created a pressing need for robust watermarking schemes for protection of copyright ownership. The desired watermark characteristics include fidelity preservation, robustness to common signal and geometric processing operations, robustness to attack and applicability to audio, image and video data. This paper presents a framework for analyzing and evaluating the strengths of various watermarking algorithms. The focus is exclusively on the analysis of watermarking of digital images. The framework presented herein can however be extended to digital video and audio watermarking applications

关键词： Watermarking Steganography Discrete cosine transforms Robustness Frequency Discrete wavelet transforms Protection signal processing algorithms Cryptography image retrieval

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Improvements to SPIHT for Lossless image Coding

Improvements to SPIHT for Lossless Image Coding

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International conference on Information and Communication Technologies: From Theory to applications, ICTTA

作者： T. Brahimi A. Melit F. Khelifi D. Boutana Department of Electronic Engineering Faculty of Engineering Science University of Jijel Algeria Queen''s University Belfast UK

The SPIHT (set partitioning in hierarchical trees) algorithm has attracted great attention in recent years as a technique for image coding. Not only does it give good objective and subjective performance, it is also simple and efficient. In this paper we propose an enhanced image lossless image compression that is based on SPIHT. The most important modification in this algorithm is the addition of a simple modification to the set of type A with a new test on the threshold. Our experiments show that this improvement increases the performance of lossless image coding for all standard test images

关键词： image coding wavelet transforms Testing image resolution Decoding Partitioning algorithms Performance loss signal processing algorithms Scalability Video compression

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An FPGA Based Facial Component Extractor using wavelet-Based Salient Points

An FPGA Based Facial Component Extractor using Wavelet-Based...

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International conference on Information and Communication Technologies: From Theory to applications, ICTTA

作者： I. Hosseini M. Rahmaty M.S. Sadri N. Shams R.A. Fattahi ECE Department I.U.T. Iran

Facial component extraction is an active area of research and numerous methods are available for it. Some of these methods are slightly inaccurate because of vast dynamic characteristics of human face and its shape variations. However, these methods are widely used in real-time applications due to their low computational cost. In this paper we propose a new method that uses wavelet decomposition to extract salient points of the given image. Statistical analysis of the obtained salient points can exactly locate facial components. The proposed method tries to achieve computational efficiency and accuracy simultaneously. Simulation results present a detection rate of 95.6% for facial components. A complete FPGA implementation of the system is also proposed. It is shown that the logic resource usage for entire system is so low that the entire system can fit into a 300K gates Sparatan-IIE FPGA. The designed hardware is capable of extracting facial components for up to 5 frames per second

关键词： Field programmable gate arrays Principal component analysis Face detection Discrete wavelet transforms Computational efficiency Statistical analysis Hardware Face recognition Pattern recognition signal processing algorithms

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Secure Video Watermarking using Random Statistics and Combinatorial Optimization

Secure Video Watermarking using Random Statistics and Combin...

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International conference on Information and Communication Technologies: From Theory to applications, ICTTA

作者： K. Steghrarzadeh V. Gheneh Department of Electronics & Computer Eng. Barareh University of Technology Tehran Iran

Summary form only given. In this paper, we propose a novel semi-blind video watermarking scheme, where we use pseudo-random robust semi-global features of video in the three dimensional wavelet transform domain. We design the watermark sequence via solving an optimization problem, such that the features of the mark-embedded video are the quantized versions of the features of the original video. The exact realizations of the algorithmic parameters are chosen pseudo-randomly via a secure pseudo-random number generator, whose seed is the secret key, that is known (resp. unknown) by the embedder and the receiver (resp. by the public). We experimentally show the robustness of our algorithm against several attacks, such as conventional signal processing modifications and adversarial estimation attacks. We also propose a system that provides temporal synchronization in video watermarking by using side information at the receiver. Short perceptually-robust representations (also known as robust hash values) of randomly selected frames from the watermarked video regions is derived at the encoder and transmitted to the decoder. Synchronization is then achieved by computing perceptually-representative information of all frames of the received video at the receiver and finding the "best matching region" via solving a combinatorial optimization problem efficiently using dynamic programming techniques. A suitably-chosen "robust image hash" function is used to derive the necessary representative information of the video frames; the resulting hash values possess properties of being short in length, computable in real time, and similar (resp. different) for perceptually similar (resp. different) video frames with high probability. We experimentally illustrate the effectiveness of our method against several temporal de-synchronization attacks, such as random temporal interpolation, scene editing, cutting and swapping

关键词： Watermarking Statistics Robustness signal processing algorithms wavelet domain wavelet transforms Design optimization Video signal processing Decoding Dynamic programming

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Face Detection using DT-CWT on SHPCA Space

Face Detection using DT-CWT on SHPCA Space

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International conference on Intelligent Systems Design and applications (ISDA)

作者： Yuehui Sun Minghui Du College of Electronic and Information Engineering South China University of Technology Guangzhou China

A novel face detection algorithm is presented by applying dual tree complex wavelets transform (DT-CWT) on spectral histogram PCA space (SHPCA) and support vector machine (SVM). DT-CWT is a transform recently studied, which provides good directional selectivity in six different fixed orientations at different scales. It has limited redundancy for images and is much faster than Gabor transform to compute. Hence, DT-CWT is a good choice to replace Gabor transform in some image signals processing fields especially for face images representation. In the face detection algorithm presented in this paper, images are first projected to SHPCA space after convolved with different filters including DT-CWT filters to achieve features subtraction based on frequency. Then on SHPCA space SVM classification is applied to detect whether faces exist in images or not. The experimental results show that DT-CWT performs much better than Gabor transform on SHPCA space. Furthermore, during preliminary experiments, SVM based on SHPCA space has been trained on a training set of 4000 faces aligned and 6000 non-face images, and a robust classifying function for face and non-face pattern is obtained, which gives the satisfying performance. Several questions about computation time saving and performance improvement are discussed

关键词： Face detection Support vector machines Gabor filters Support vector machine classification wavelet transforms Histograms Principal component analysis signal processing algorithms image representation Frequency

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Analysis and Architecture Design for Memory Efficient Parallel Embedded Block Coding Architecture in JPEG 2000

Analysis and Architecture Design for Memory Efficient Parall...

引用

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

作者： Lien-Fei Chen Tai-Lun Huang Tzau-Min Chou Yeong-Kang Lai Department of Electrical Engineering National Chung Hsing University Taichung Taiwan

In this paper, a memory efficient parallel embedded block coding (EBC) architecture with throughput enhancement in JPEG 2000 applications is proposed. In order to reduce the memory size, the memory-free algorithm for state variables in the context formation (CF) is proposed. The proposed algorithm eliminates the state variable memories by calculating three coding state variables (gamma p+1 [n], sigma p+1 [n], and pi p [n]) on the fly. We also propose the stripe-column-based pass-parallel operation to perform three coding passes and four samples within the stripe-column concurrently. The FIFO architecture between the high throughput CF and the arithmetic encoder (AE) is also optimized by the pipelined sorter and the parallel-in parallel-out register file. Owing to the proposed high parallel CF, we propose a parallel and two-stage pipelined AE architecture to deal well with the context/decision (CX/D) pairs for three coding passes. The experimental results show that memory size of the proposed architecture is smaller than other familiar architectures, and the proposed architecture can process the lossless coding about 50 MSamples/sec at 100-MHz

关键词： Memory architecture Block codes Throughput Arithmetic Transform coding Discrete wavelet transforms Partitioning algorithms IEC standards ISO standards image coding

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