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Evolving Matched Filter Transform Pairs for Satellite image processing

Evolving Matched Filter Transform Pairs for Satellite Image ...

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conference on Evolutionary and Bio-Inspired Computation - Theory and applications V

作者： Peterson, Michael R. Horner, Toby Moore, Frank Univ Hawaii Dept Comp Sci & Engn Hilo HI 96720 USA Univ Alaska Anchorage Dept Math & Comp Sci Anchorage AK 99508 USA

ISBN: (纸本)9780819486332

wavelets provide an attractive method for efficient image compression. For transmission across noisy or bandwidth limited channels, a signal may be subjected to quantization in which the signal is transcribed onto a reduced alphabet in order to save bandwidth. Unfortunately, the performance of the discrete wavelet transform (DWT) degrades at increasing levels of quantization. In recent years, evolutionary algorithms (EAs) have been employed to optimize wavelet-inspired transform filters to improve compression performance in the presence of quantization. wavelet filters consist of a pair of real-valued coefficient sets;one set represents the compression filter while the other set defines the image reconstruction filter. The reconstruction filter is defined as the biorthogonal inverse of the compression filter. Previous research focused upon two approaches to filter optimization. In one approach, the original wavelet filter is used for image compression while the reconstruction filter is evolved by an EA. In the second approach, both the compression and reconstruction filters are evolved. In both cases, the filters are not biorthogonally related to one another. We propose a novel approach to filter evolution. The EA optimizes a compression filter. Rather than using a wavelet filter or evolving a second filter for reconstruction, the reconstruction filter is computed as the biorthogonal inverse of the evolved compression filter. The resulting filter pair retains some of the mathematical properties of wavelets. This paper compares this new approach to existing filter optimization approaches to determine its suitability for the optimization of image filters appropriate for defense applications of image processing.

关键词： image processing wavelets evolutionary computation unmanned aerial vehicles

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A new filter bank algorithm for enhancement of early signs of ischemic stroke in brain CT images

A new filter bank algorithm for enhancement of early signs o...

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2011 2nd IEEE International conference on signal and image processing applications, ICSIPA 2011

作者： Sajjadi, Mehdi Amirfattahi, Rassoul Ahmadzadeh, Mohammad Reza Saghafi, Mohammad Ali Digital Signal Processing Research Lab Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156-83111 Iran 43600 Bangi Selangor Malaysia

ISBN: (纸本)9781457702419

Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor contrast. On the other hand, there are certain parts of the brain image that is really important to radiologist, while other image details are more or less confusing. This sparks the need for customized enhancement of brain CT images. Translation-invariant wavelet transform is being widely used in most of image processing tasks including image enhancement. This transform is calculated with a filter bank algorithm, called algorithme trous. In this paper we propose a filter bank structure similar to algorithme trous. This structure is more redundant and offers greater selectivity and flexibility to enhance desired features of brain CT images. © 2011 IEEE.

关键词： Filter banks

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2011 IEEE International conference on signal and image processing applications, ICSIPA 2011

2011 IEEE International Conference on Signal and Image Proce...

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2011 2nd IEEE International conference on signal and image processing applications, ICSIPA 2011

ISBN: (纸本)9781457702419

The proceedings contain 108 papers. The topics discussed include: magnetic imaging of ferromagnetic shape with mobile hall sensor array system;forward and backward automatic censoring binary integration detectors using Weber-Haykin thresholding;child face detection using age specific luminance invariant geometric descriptor;a color based approach for eye blink detection in image sequences;multi-color ULBP with wavelet transform in invariant pose face recognition;monocular vision system development for depth estimation;high dynamic range stereo video using SIFT and simultaneous multi-exposure;classification gel electrophoretic image of DNA fusarium graminearum featuring support vector machine;pattern recognition for insect behavior by wrapper approach to subset selection of wavelet-multifractal attributes;and adaptive filtering for noisy and mismatched conditions in speaker recognition.

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Digital image forensics using wavelet based image models

Digital image forensics using wavelet based image models

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2011 IEEE 19th signal processing and Communications applications conference, SIU 2011

作者： Özparlak, Levent Avcibaş, Ismail Elektrik-Elektronik Mühendisliǧi Bölümü Başkent Üniversitesi Turkey

ISBN: (纸本)9781457704635

The technologies making possible to change even the content of the digital media are developing fast. The demand for the development of mathematical and computational algorithms to determine the modifications on digital media has arisen and the studies in this area are gaining speed by the day. In this paper, we propose new statistical models for wavelet based transforms and try to differentiate between paintings of painters and images taken from different digital cameras. Experimental results show that the features obtained from ridgelet and contourlet transforms are more successful than the wavelet based features in differentiating these images. © 2011 IEEE.

关键词： Digital storage

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Illumination compensation by using singular value decomposition and discrete wavelet transform

Illumination compensation by using singular value decomposit...

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IEEE conference on signal processing and Communications applications

作者： Anbarjafari, Gholamreza Izadpanahi, Sara Ozcinar, Cagri Demirel, Hasan Bilişim Sistemleri Mühendisliǧi Uluslararasi Kibris Üniversitesi KKTC Turkey Elektrik ve Elektronik Mühendisliǧi Bölümü Doǧu Akdeniz Üniversitesi KKTC Turkey Elektronik Mühendisliǧi Bölümü Surrey Üniversitesi Ingiltere Turkey

ISBN: (纸本)9781457704635

This paper proposes a new illumination compensation technique based on iterative implementation of singular value equalization of low frequency subband of a given image. In this work, both input and reference images are decomposed into different frequency subbands by using discrete wavelet transform (DWT). Then low frequency subbands are used in order to compensate the illumination of the input image and achieve the same illumination of the reference image. Afterwards inverse DWT (IDWT) is used to reconstruct the illumination compensated image. The experimental results on various video resolution enhancement techniques show that maximum PSNR gain of 1.96 dB is achieved by applying the proposed illumination compensation technique. © 2011 IEEE.

关键词： Discrete wavelet transforms

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COMPRESSIVE SENSING IN THROUGH-THE-WALL RADAR IMAGING

COMPRESSIVE SENSING IN THROUGH-THE-WALL RADAR IMAGING

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

作者： Leigsnering, Michael Debes, Christian Zoubir, Abdelhak M. Tech Univ Darmstadt Signal Proc Grp Darmstadt Germany

ISBN: (纸本)9781457705397

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： Through-the-wall radar imaging compressive sensing wavelets

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A complete wavelet based perceptual video coder

A complete wavelet based perceptual video coder

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IASTED International conference on signal and image processing and applications, SIPA 2011

作者： Prashant, Koparde G. Ganapathy, Sreelekha National Institute of Technology Calicut Kerala India

ISBN: (纸本)9780889868946

This paper presents design and development of a Human Visual System (HVS) based video coder. The major aim of developing such a coder is to highlight the role of perceptual models in improving the reconstructed video quality. The proposed coder incorporates vision models into the coding stream of both the luma and chroma components of the Intra-frames (I-frames) of the input video stream, when represented in the YCbCr space. Unlike the standard video codecs which uses a Discrete Cosine Transform (DCT) based transform coding scheme, a Discrete wavelet Transform (DWT) based coding is adopted for the compression of I-frames. This not only gives improved compression but also serves as a suitable platform to incorporate the HVS models to improve the quality of the reconstructed video. We call the proposed perceptual video coder a complete video coder since it uses HVS models at all stages of processing. A perceptual metric Structural Similarity Index Measure (SSIM), is used as the cost function for fast motion estimation which improves the speed of processing and prediction. The performance comparison of the proposed and the standard coders are done in terms of latest perceptual measures, such as SSIM and VSNR to highlight the perceptual quality improvements.

关键词： image compression

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wavelet domain filtering of MR image sequences with appropriate filtering approach based on MR image type

Wavelet domain filtering of MR image sequences with appropri...

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2011 - International conference on signal processing, Communication, Computing and Networking Technologies, ICSCCN-2011

作者： Phatak, Kedar Jakhade, Swapnil Nene, Aniket Kamathe, R.S. Joshi, K.R. Department of Electronics and Telecommunication P.E.S's Modern College of Engineering Pune-5 Pune Maharashtra India

ISBN: (纸本)9781612846538

Magnetic Resonance Imaging (MRI) is becoming popular in medical diagnosis due to its diagnostic applications and advantages over X- rays. But diagnosis task becomes difficult when noise gets introduced in MR images. Also now a days trend is leaning towards automatic diagnosis. Hence in preprocessing task de-noising has become a challenge. Denoising methods based on linear filters cannot preserve image structures such as edges in the same way that methods based on nonlinear filters can do it. In this paper, an algorithm is introduced that uses wavelet based multiresolution analysis and adaptive filtering which can effectively remove noise from image data. Here, we have used Discrete wavelet transform (DWT) and Un-decimated wavelet transform (UDWT), which are functionally somewhat different, for de-noising of MR images and compared the results of the two. Also we have compared different wavelet families and filters and suggested the best combination for de-noising technique. © 2011 IEEE.

关键词： Magnetic resonance imaging

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Centralized and Interactive Compression of Multiview images

Centralized and Interactive Compression of Multiview Images

引用

conference on applications of Digital image processing XXXIV

作者： Gelman, Andriy Dragotti, Pier Luigi Velisavljevic, Vladan Univ London Imperial Coll Sci Technol & Med Commun & Signal Proc Grp London SW7 2AZ England Deutsche Telekom Lab D-10587 Berlin Germany

ISBN: (纸本)9780819487452

In this paper, we propose two multiview image compression methods. The basic concept of both schemes is the layer-based representation, in which the captured three-dimensional (3D) scene is partitioned into layers each related to a constant depth in the scene. The first algorithm is a centralized scheme where each layer is de-correlated using a separable multi-dimensional wavelet transform applied across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. Although the method achieves a high compression rate, the joint encoding approach requires the transmission of all data to the users. By contrast, in an interactive setting, the users request only a subset of the captured images, but in an unknown order a priori. We address this scenario in the second algorithm using Distributed Source Coding (DSC) principles which reduces the inter-view redundancy and facilitates random access at the image level. We demonstrate that the proposed centralized and interactive methods outperform H.264/MVC and JPEG 2000, respectively.

关键词： Multiview image compression interactive communication wavelet transform

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On the Security of a Robust Watermarking Scheme Based on RDWT-SVD

On the Security of a Robust Watermarking Scheme Based on RDW...

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3rd International conference on Future Generation Information Technology

作者： Ling, Huo-Chong Phan, Raphael C-W. Heng, Swee-Huay Research Group of Cryptography and Information Security Centre for Multimedia Security and Signal Processing Multimedia University Malaysia Loughborough University LE11 3TU United Kingdom

ISBN: (纸本)9783642271410

image watermarking schemes allow a cover image to be embedded with a watermark for diverse applications, such as copyright protection and covert communication. Recently, a hybrid image watermarking scheme based on redundant discrete wavelet transform and singular value decomposition is proposed by Lagzian et al. This scheme demonstrates high robustness against common image processing attacks such as geometric attack, JPEG compression, Gaussian noise and histogram equalization. In this paper, we present a fundamental flaw in the scheme that leads to false-positive detection problem and hence, undermines the robustness and suitability of the scheme to be used as a proof of ownership application.

关键词： watermarking redundant discrete wavelet transform singular value decomposition false-positive detection robustness proof of ownership

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