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SAR image despeckling using undecimated directional filter banks and mean shift

SAR image despeckling using undecimated directional filter b...

引用

IEEE International conference on image processing

作者： Gong Zhang Wenhua Shi Jing Xu Ning Li Mark J. T. Smith College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

The granular appearance of speckle noise in synthetic aperture radar (SAR) imagery can make it difficult to visually and automatically interpret SAR data. Speckle reduction is a prerequisite for many SAR image processing tasks. In this paper, a novel method of SAR image despeckling is presented that uses undecimated directional filter banks (UDFB) and mean shift clustering. The UDFB is obtained by manipulating the resampling matrices in the Bamberger directional filter banks (DFB), such that low computational complexity is preserved, while achieving shift invariance that could be useful in pattern recognition and image denoising applications. A nonparametric estimator of the density gradient is employed in the joint spatial-range domain of the directional bands obtained by the UDFB. Examples included at the end of the paper illustrate typical performance results obtained using this method.

关键词： Filter bank Speckle Discrete wavelet transforms Filtering image analysis Synthetic aperture radar signal analysis Channel bank filters Educational institutions Information science

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Mathematical analysis of the energy compaction affected by the dimensionality of Karhunen-Lòeve transform

Mathematical analysis of the energy compaction affected by t...

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IEEE International conference on image processing

作者： Yukihiro Bandoh Hiroki Ohbayashi Seishi Takamura Kazuto Kamikura Yoshiyuki Yashima NTT Cyber Space Laboratories NTT Company Limited Yokosuka Kanagawa Japan Faculty of Sciences Kyushu University Fukuoka Japan

ISBN: (纸本)9781424456536;9781424456543

Transform coding is a essential tool for picture coding applications, and coding schemes that can achieve high energy compaction are essential. In terms of energy compaction, Karhunen-Loeve transform (KLT) is known to be optimal. The energy compaction provided by KLT depends on the statistical property of the input signal and the dimensionality of KLT. However, the quantitative effect of KLT dimensionality on energy compaction has not been clarified. This paper establishes a mathematical model of the relationship among the dimensionality of KLT and the energy compaction of the transform coefficients, using mathematical tools in quantum information theory.

关键词： Mathematical analysis Compaction Karhunen-Loeve transforms Discrete cosine transforms Mathematical model Discrete transforms Transform coding Discrete wavelet transforms Quantum mechanics Information theory

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Resolution mosaic-based Smart Camera for video surveillance

Resolution mosaic-based Smart Camera for video surveillance

引用

ACM/IEEE International conference on Distributed Smart Cameras, ICDSC

作者： Mohammed A-Megeed Salem Kristian Klaus Frank Winkler Beate Meffert Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Signal Processing and Pattern Recognition Group Department of Computer Science Humboldt-Universitaet zu Berlin Berlin Germany

Video surveillance is one of the most data intensive applications. A typical video surveillance system consists of one or multiple video cameras, a central storage unit, and a central processing unit. At least two bottlenecks exist: First, the transmission capacity is limited, especially for raw data. Second, the central processing unit has to process the incoming data to give results in real time. Therefore, we propose an FPGA-based embedded camera system which performs all steps of image acquisition, region of interest extraction, generation of a multiresolution image, and image transmission. The proposed pipeline-based architecture allows a real time wavelet-based image segmentation and a detection of moving objects for surveillance purposes. The system is integrated in a single FPGA using external RAM as storage for images and for a Linux operating system which controls the data flow. With the pipeline concept and a Linux device driver it is possible to create a system for streaming the results of an image processing through a GbE interface. A real time processing is achieved. The camera transmits the captured images with 30 Mpixel/s , but the system is able to process 100 Mpixel/s .

关键词： Smart cameras Video surveillance Central processing Unit image storage Linux Data mining image resolution image communication image segmentation Object detection

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Classifier-Based Feature Fusion for Texture Discrimination

Classifier-Based Feature Fusion for Texture Discrimination

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International conference on Information Engineering and Computer Science (ICIECS)

作者： Jianglin Ma Zhouwei Zhang Chengyi Wang Zhong Chen Remote Sensing Image Processing Laboratory Institute of Remote Sensing Applications Chinese Academy and Sciences Beijing China Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

A classifier-based method to select and fuse grey level co-occurrence matrix (GLCM), Gaussian Markov random field (GMRF) and discrete wavelet transform (DWT) features to improve texture discrimination is presented. Feature selection via wrapper approaches is applied to find the optimal combination of texture features. The fused features have obtained higher discrimination accuracy compared with individual features. The curse of dimensionality is shown to affect discrimination accuracy, and feature selection and reduction helps obtain higher accuracy. Overall our proposed classifier-based method obtains the highest discrimination accuracy compared to other feature reduction methods such as principal component analysis (PCA) and linear discriminant analysis (LDA). Meanwhile GLCM features are found to produce higher discrimination accuracy than GMRF and DWT, and LDA is demonstrated to obtain higher discrimination accuracy than PCA.

关键词： Discrete wavelet transforms Linear discriminant analysis signal processing algorithms Feature extraction Remote sensing Markov random fields Principal component analysis Classification algorithms Fuses wavelet analysis

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Implementing Contourlet Transform for Medical image Fusion on a Heterogenous Platform

Implementing Contourlet Transform for Medical Image Fusion o...

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International conference on Scalable Computing and Communications;International conference on Embedded Computing, SCALCOM-EMBEDDEDCOM

作者： Yipeng Wei Yongxin Zhu Feng Zhao Yuehua Shi Tingting Mo Xiaoyi Ding Jie Zhong School of Microelectronics Shanghai Jiaotong University China Ruijin Hospital Shanghai Jiaotong University China

The classic wavelet transform has been applied in registration and fusion of medical images for decades. An extension namely, contourlet transform recently indicated its advantages in image fusion with better efficiency in multi-resolution and multi-direction representation and calculation. However, then even higher computational complexity it requires turns out to be a disastrous concern in embedded applications. In this paper, we implement an acceleration system on a heterogeneous TI Da Vinci dual core processor consisting of an ARM processor core and a DSP processor core. The ARM core controls the fusion procedure by extracting the luminance bits and invoking the DSP core to carry out the time-consuming part of the contourlet transform. The partitions of tasks are determined after the program is analyzed and profiled at functional level to make full use of the computational capability of the heterogeneous platform. Initial measured improved performance results are obtained and analyzed with projected further improvements.

关键词： Biomedical imaging image fusion Frequency wavelet transforms Digital signal processing Computational complexity Embedded computing Partitioning algorithms Military computing Magnetic resonance imaging

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Satellite image compression by directional decorrelation of wavelet coefficients

Satellite image compression by directional decorrelation of ...

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33rd IEEE International conference on Acoustics, Speech and signal processing

作者： Delaunay, X. Chabert, M. Charvillat, V. Morin, G. Ruiloba, R. NOVELTIS CNES TeSA Toulouse France ENSEEIHT IRIT Toulouse France NOVELTIS Romainville France

ISBN: (纸本)9781424414833

This paper presents a satellite image compression scheme based on a post-processing of the wavelet transform of images. The bandelet transform is a directional post-processing of wavelet coefficients. Thanks to a low computational complexity, this transform is a good candidate for future on-board satellite image compression systems. First, we analyze the ability of the bandelets to exploit directional correlations between wavelet coefficients. This study leads to an improved post-processing with a better decorrelation of adjacent wavelet coefficients in the vertical or in the horizontal direction taking into account the wavelet subband orientations. To perform even better decorrelation, bases are also build by Principal Component Analysis (PCA). This results in an improved compression performance without increasing the computational complexity.

关键词： image coding wavelet transforms decorrelation discrete transforms satellite applications

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Robust Digital image Watermarking Based on Normalization and The Two Dimensional Complex wavelet Transform

Robust Digital Image Watermarking Based on Normalization and...

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IEEE 16th signal processing and Communications applications conference

作者： Kazan, Serap Vural, Cabir Sakarya Univ Bilgisayar Muhendisligi Bolumu Sakarya Turkey Sakarya Univ Elekt Elekt Muthendisligi Bolumu Sakarya Turkey

ISBN: (纸本)9781424419982

In this study, a new digital image watermarking algorithm based on moment-based image normalization and the two dimensional complex wavelet transform (2D-CWT) was developed. Normalization provides robustness against geometrical distortions, while the 2D-CWT increases robustness for attacks such as noise, linear and nonlinear filtering, JPEG compression. That added watermark satisfies both transparency and robustness requirements was achieved by taking the properties of the human visual system account.

关键词： wavelet transforms

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Classification of Cylindrical Targets by wavelet Transform and ROC Analysis

Classification of Cylindrical Targets by Wavelet Transform a...

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IEEE 16th signal processing and Communications applications conference

作者： Makal, Senem Durak, Luetfiye Kizilay, Ahmet Yildiz Tekn Univ Elekt & Haberlesme Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781424419982

A set of features are derived from scattered fields calculated by using the image technique formulation and Method of Moment (MoM) and a database is formed by using two cylindrical targets at certain angles. After the application of wavelet transform for feature extraction from this database, the coefficients of the signal are used as the inputs of the artificial neural networks. The real performances of the networks are investigated by ROC (Receiver Operating Characteristic) analysis. This work aims to diminish the size of the database smaller by wavelet transform for finding the corresponding cylindrical target from the scattered field values.

关键词： wavelet transforms

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A Novel Video Compression Technique for Very Low Bit-Rate Coding by Combining H.264/AVC Standard and 2-D wavelet Transform

A Novel Video Compression Technique for Very Low Bit-Rate Co...

引用

9th International conference on signal processing

作者： Aghagolzadeh, Ali Meshgini, Saeed Nooshyar, Mehdi Aghagolzadeh, Mehdi Univ Tabriz Fac Elect & Comp Engn Tabriz Iran

ISBN: (纸本)9781424421787

In this paper, we propose a new method for very low bit-rate video coding that combines H.264/AVC standard and two dimensional discrete wavelet transform. In this method, first a two dimensional wavelet transform is applied on each video frame independently to extract the low frequency components for each frame and then the low frequency parts of all frames are coded using H.264/AVC codec. On the other hand, the high frequency parts of the video frames are coded by Run Length Coding algorithm, after applying a threshold to neglect the low value coefficients. Experiments show that our proposed method can achieve better rate-distortion performance at very low bit-rate applications below 16 kbits/s compared to applying H.264/AVC standard directly to all frames. applications of our proposed video coding technique include video telephony, video conferencing, transmitting or receiving video over half-rate traffic channels of GSM networks and so on.

关键词： image coding

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Spherical Representation in wavelet Packets for image Coding

Spherical Representation in Wavelet Packets for Image Coding

引用

IEEE 16th signal processing and Communications applications conference

作者： Ates, Hasan Fehmi Tamer, Engin Isik Univ Elekt Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781424419982

In this paper, we present an adaptation of the spherical coder, which has been developed for wavelet transform, to wavelet packets. This coder uses local energy as a direct measure to differentiate the spatial informatin available in wavelet subbands and to decide how to allocate the available bitrate within each subband. As local energy becomes available at finer resolutions, Le. in smaller size windows, the coder automatically updates its decisions about how to spend the bitrate. We use a hierarchical set of variables to specify and code the local energy up to the highest resolution, i.e. the energy of individual wavelet coefficients. ne performance of the algorithm is improved by the use of optimal wavelet packet in terms of the energy distribution. ne resulting coder achieves over I dB coding gain, especially for textured images.

关键词： wavelet transforms

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