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检索条件"任意字段=Wavelet Applications in Signal and Image Processing VIII"

共 3967 条记录，以下是891-900 订阅

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Video editing in the gradient domain using a wavelet based 3-D reconstruction algorithm and an iterative Poisson solver

Video editing in the gradient domain using a wavelet based 3...

引用

IEEE Pacific Rim Conference on Communications, Computers and signal processing

作者： Ioana S. Sevcenco Panajotis Agathoklis Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada

ISBN: (纸本)9781467377898

A new wavelet based algorithm for reconstructing three dimensional (3-D) signals from gradients is proposed. The algorithm is based on obtaining directly from the gradients the Haar wavelet decomposition and from it the 3-D signal using a wavelet synthesis that includes an iterative Poisson solver at each resolution. The approach is an extension of a similar approach for wave-front reconstruction in [1]. Experiments with video sequences demonstrate that the proposed algorithm leads to good quality reconstructions in the presence of noise in the gradients. This makes the proposed algorithm valuable for gradient based video processing applications and a video editing example is included to illustrate this.

关键词： image reconstruction Video sequences Approximation methods Adaptation models wavelet analysis signal processing algorithms signal resolution

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Biorthogonal wavelet vanishing moment increment technique

Biorthogonal wavelet vanishing moment increment technique

引用

IEEE signal processing and Communications applications (SIU)

作者： Mehmet Cemil Kale Gizem Atac Ömer Nezih Gerek Eskisehir Osmangazi Universitesi Eskisehir TR Anadolu Universitesi Eskisehir TR

Among several lifting style biorthogonal wavelets, Daubechies and Sweldens wavelets provide the maximum number of vanishing moments for the shortest filter length. In this research we propose a method to increase the number of vanishing moments at the expense of incorporating an autoregressive reconstruction operator. Each additional vanishing moment increases tha analysis filter sizes by one. Ten test images are used to test the developed decomposition structures according to subsample energies. It is observed that decompositions with increased vanishing moments significantly reduces detail subspace energies.

关键词： wavelet transforms Biological system modeling image reconstruction Harmonic analysis wavelet analysis

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A multi-resolution approach for edge detection using Ant Colony Optimization

A multi-resolution approach for edge detection using Ant Col...

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IEEE signal processing and Communications applications (SIU)

作者： Abubakar M. Ashir Alaa Eleyan Electrical & Electronic Engineering Department Mevlana University Konya Turkey

In this paper we aim at providing a robust and more compact approach for detecting edges compared to the traditional edge detection algorithms like Roberts, Sobel, Prewitt and evolutionary-inspired Ant Colony Optimization (ACO) techniques. In this proposed approach, an ACO is used alongside Dual-Tree Complex wavelet Transform (DT-CWT) to detect and emphasize edges that would have been difficult to obtain with directly applying ACO or conventional edge detection algorithms. Initially the image is decomposed using DT-CWT to obtain the oriented wavelets and approximation versions of the original image. ACO is applied to each of the decomposed images and then image is reconstructed to get the processed image with the detected edges. The results obtained reveal superior, more detailed and emphasized edges than directly applying ACO or other conventional techniques. The proposed approach is also capable of identifying edges in slightly varying intensity regions.

关键词： image edge detection Discrete wavelet transforms Ant colony optimization Approximation methods Conferences

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Acute lymphoblastic leukemia diagnosis using image processing techniques

Acute lymphoblastic leukemia diagnosis using image processin...

引用

IEEE signal processing and Communications applications (SIU)

作者： Osman Selçuk Figen Özen Halic Universitesi Istanbul TR Elektrik-Elektronik Mühendisliği Bölümü HALİÇ Üniversitesi İstanbul Türkiye

An efficient image processing algorithm for the classification of acute lymphoblastic leukemia (ALL) cells has been designed. ALL is encountered especially on children and has a high chance of treatment, yet may lead to death if not treated. The preprocessing part of the algorithm employs the wavelet Transform technique and the classification is done using Support Vector Machines (SVMs). The results have been analyzed statistically by means of a Confusion Matrix. The rate of success has been found as 96,43%.

关键词： image segmentation Microscopy Robots Computers Multiresolution analysis

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LOGARITHMIC MULTIRESOLUTION ANALYSIS

LOGARITHMIC MULTIRESOLUTION ANALYSIS

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IEEE International Conference on image processing

作者： Laurent Navarro Michel Jourlin Guy Courbebaisse Ecole Nationale Superieure des Mines CIS-EMSE CNRS: UMR 5307 University of Saint-Etienne Lab. H. Curien UMR CNRS 5516 University of Lyon CREATIS CNRS UMR 5220 INSERM U1044 UCB Lyon1 INSA Lyon

ISBN: (纸本)9781479983407

Recently, a logarithmic image processing model called Symmetric Logarithmic image processing (S-LIP) has been investigated in the framework of the multiresolution analysis (MRA) performed by wavelet transform. The S-LIP model is an extension of the Logarithmic image processing (LIP) model. The motivation of this work is to implement classical wavelet applications in the S-LIP framework. The underlying idea is to take advantage of both the multiscale analysis performed by the wavelet transform and the logarithmic processing of the pixels' intensity by the S-LIP model. The S-LIP wavelet transform is introduced and applied to automatic denoising in order to highlight its intrinsic characteristics. As an illustration, signal-to-Noise Ratios for both the linear wavelet transform and S-LIP wavelet transform are calculated for different levels of Gaussian, Poisson, Speckle and salt-and-pepper noises.

关键词： wavelet Transform Logarithmic image processing Symmetric Logarithmic image processing Denoising

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A DWT based steganography scheme with image block partitioning

A DWT based steganography scheme with image block partitioni...

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International Conference on signal processing and Integrated Networks (SPIN)

作者： Sabyasachi Kamila Ratnakirti Roy Suvamoy Changder Department of Computer Applications National Institute of Technology Durgapur India

Steganography is a branch of information hiding. It hides the existence of a secret message by embedding it in a cover media. In this paper, a new method for color image steganography is proposed in frequency domain where Discrete wavelet Transform (DWT) of the cover image is used to differentiate high frequency and low frequency information of each pixel of the image. Proposed method hides secret bits in three higher frequency components making sure that the embedding impact on the cover image is minimum and not centralized in sensitivity domain. Experimental results reveal a good visual quality of the stego image with desirable steganalysis resisting characteristics.

关键词： Arrays PSNR Discrete wavelet transforms Payloads Frequency-domain analysis image color analysis Distortion measurement

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wavelet merged multi-resolution super-pixels and their applications on fluorescent MSC images

Wavelet merged multi-resolution super-pixels and their appli...

引用

IEEE signal processing and Communications applications (SIU)

作者： Onur Yorulmaz Oğuzhan Oğuz Ece Akhan DÖnüş Tuncel Rengül Ç. Atalay A. Enis Çetin Elektrik ve Elektronik Mühendisliği Bölümü Bilkent Üniversitesi Moleküler Biyoloji ve Genetik Bölümü Bilkent Üniversitesi Kimya Bölümü Bilkent Üniversitesi Enformatik Enstitüsü Orta Doğu Teknik Üniversitesi Ankara Türkiye

A new multi-resolution super-pixel based algorithm is proposed to track cell size, count and motion in Mesenchymal Stem Cells (MSCs) images. Multi-resolution super-pixels are obtained by placing varying density seeds on the image. The density of the seeds are determined according to the local high frequency components of the MSCs image. In this way a multi-resolution super-pixels decomposition of the image is obtained. A second contribution of the paper is novel decision rule for merging similar neighboring super-pixels. An algorithm based on well known wavelet decomposition is developed and applied to the histograms of neighboring super pixels to exploit similarity. The proposed algorithm is experimentally shown to be successful in segmenting and tracking cells in MSCs images.

关键词： Conferences Polymers Computer vision Stem cells image resolution Merging Histograms

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Lanna Dharma handwritten character recognition on palm leaves manuscript based on wavelet transform

Lanna Dharma handwritten character recognition on palm leave...

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

作者： Papangkorn Inkeaw Chutima Chueaphun Jeerayut Chaijaruwanich Atcharin Klomsae Sanparith Marukatat Department of Computer Science Chiang Mai University Chiang Mai Thailand Chiang Mai University Chiang Mai TH Department of Computer Engineering Chiang Mai University Chiang Mai Thailand National Electronics and Computer Technology Center Pathum Thani Thailand

Lanna Dharma alphabet is used in the past in the North of Thailand, mainly for religious communication. Most of handwritten Lanna Dharma is found in form of old palm leaves manuscripts. These documents have not been properly preserved, still unprotected and damaged by the time. To preserve these valuable documents, handwritten optical character recognition is one of the first choices. This paper proposes an efficient method for Lanna Dharma handwritten character recognition from palm leaves manuscript image. In recent years, research towards Dharma Lanna character recognition from printed document is proposed. However, the proposed method cannot be applied to handwritten documents. This research aims to compare the different feature extraction methods for Lanna Dharma handwritten recognition. The first step in the proposed method is image preprocessing that binarized, enhanced, line segmented, level segmented and character segmented. The next step, each character image was extracted as feature vector using various feature extraction method based on wavelet transform. Then several alternative feature extraction methods were compared by evaluating their effect on character recognition performance using K-Nearest Neighbor algorithm. The experimental results show that the best feature extraction is 2D, 1D wavelet transform and region properties feature extraction. The recognition rates of 10-fold crosses validation are 93.22 % for upper level, 95.48% for middle level, and 97.77% for lower level.

关键词： wavelet transforms Feature extraction image segmentation Character recognition Optical character recognition software Writing

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Lagrangian support vector regression based image watermarking in wavelet domain

Lagrangian support vector regression based image watermarkin...

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International Conference on signal processing and Integrated Networks (SPIN)

作者： Rajesh Mehta Virendra P. Vishwakarma Navin Rajpal Department of Computer science & Engineering Amity school of Engineering & Technology New Delhi India University School of Information & Communication Technology Guru Gobind Singh Indraprastha University New Delhi India

ISBN: (纸本)9781479959921

To enhance the imperceptibility and robustness against image processing operations, the advantage of artificial neural network (ANN) and machine learning algorithms such as support vector regression (SVR), extreme learning machine (ELM) etc. are employed into watermarking applications. In this paper, Lagrangian support vector regression (LSVR) based blind image watermarking scheme in wavelet domain is proposed. The good learning capability, high generalization property against noisy datasets and less computational cost of LSVR compared to traditional SVR and ANN based algorithms makes the proposed scheme more imperceptible and robustness. Firstly, four sub images of host image are obtained using sub sampling. Each sub image is decomposed using discrete wavelet transform (DWT) to obtain the low frequency subband. Low frequency coefficients of each sub image are used to form the dataset act as input to LSVR. The output obtained by trained LSVR is used to embed the binary watermark. The security of the watermark is enhanced by applying Arnold transformation. Experimental results show the imperceptibility and robustness of the proposed scheme against several image processing attacks. The visual quality of watermarked image is quantified by the peak-signal-to noise ratio (PSNR) and the similarity between the original and extracted watermark is evaluated using bit error rate (BER). Performance of the proposed scheme is verified by comparing with the state-of-art techniques.

关键词： Watermarking Boats Bit error rate Discrete wavelet transforms Robustness PSNR

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Robust grayscale watermarking technique based on face detection

Robust grayscale watermarking technique based on face detect...

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IEEE signal processing and Communications applications (SIU)

作者： Lauri Laur Morteza Daneshmand Mary Agoyi Gholamreza Anbarjafari Institute of Computer Science University of Tartu Tartu Estonia iCV Group University of Tartu Tartu Estonia Faculty of Engineering Cyprus International University Turkey

Due to increase of usage of digital media distributed over the Internet, concerns about security and piracy have emerged. The amount of digital media reproduction has brought a need for content watermarking. In this paper robust grayscale watermarking technique based on face detection is proposed. Face detection algorithm is used to find a face on host image and this part of image is transformed into frequency domain using Discrete wavelet Transform. Chirp z-transform is applied on low-frequency subband from previous step and LU decomposition is used on the outcome. Diagonal matrix from LU decomposition is further decomposed using Singular Value Decomposition and watermark is embedded into singular values. Numerous experiments are run on that algorithm and results are compared with novel and state-of-the-art techniques. The results show that proposed method has good imperceptibility and robustness characteristics.

关键词： Watermarking Robustness Chirp Cameras Face Transform coding Discrete wavelet transforms

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