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Vipimage 2017: Proceedings of the VI ECCOMAS Thematic conference on Computational Vision and Medical image processing Porto, Portugal, October 18-20

引用

2017年

作者： Joáo Manuel Rs S Tavares Renato M Natal Jorge

ISBN: (纸本)9783319681948

This book gathers papers presented at the Vipimage 2017-VI ECCOMAS Thematic conference on Computational Vision and Medical image processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 1820, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, image Enhancement, image processing and Analysis, image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, signal processing, Simulation and Modelling, Software Development for image processing and Analysis, Telemedicine Systems and their applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality. In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision. Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, signal processing, Medicine and Rehabilitation.

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Depth image super-resolution: A review and wavelet perspective

Depth image super-resolution: A review and wavelet perspecti...

引用

International conference on Computer Vision and image processing, CVIP 2016

作者： Balure, Chandra Shaker Ramesh Kini, M. Surathkal Mangalore India

ISBN: (纸本)9789811021060

We propose an algorithm which utilizes the Discrete wavelet Transform (DWT) to super-resolve the low-resolution (LR) depth image to a high-resolution (HR) depth image. Commercially available depth cameras capture depth images at a very low-resolution as compared to that of the optical cameras. Having an highresolution depth camera is expensive because of the manufacturing cost of the depth sensor element. In many applications like robot navigation, human-machine interaction (HMI), surveillance, 3D viewing, etc. where depth images are used, the LR images from the depth cameras will restrict these applications, thus there is a need of a method to produce HR depth images from the available LR depth images. This paper addresses this issue using DWT method. This paper also contributes to the compilation of the existing methods for depth image super-resolution with their advantages and disadvantages, along with a proposed method to super-resolve depth image using DWT. Haar basis for DWT has been used as it has an intrinsic relationship with super-resolution (SR) for retaining the edges. The proposed method has been tested on Middlebury and Tsukuba dataset and compared with the conventional interpolation methods using peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) performance metrics. © Springer Science+Business Media Singapore 2017.

关键词： Discrete wavelet transforms

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International conference on Communication and Computing Systems, ICCCS 2016

International Conference on Communication and Computing Syst...

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International conference on Communication and Computing Systems, ICCCS 2016

ISBN: (纸本)9781138029521

The proceedings contain 192 papers. The special focus in this conference is on Communication and Computing Systems. The topics include: Temporal effects in collaborative filtering for recommendation systems;study on the formation of wrinkles in the panel drawing operation using fem;metaheuristics: Modeling variant of ant colony optimization for image edge detection using self adaptive approach;improving medical image classification model using data mining technique;iris recognition using hybrid transform;simo and miso universal filters employing otra;modeling of brain tumor detection using image processing;improved advanced modified decision based unsymmetric trimmed median filter for removal of salt and pepper noise;threshold segmentation technique for tumor detection using morphological operator;fpga implementation of low power & high speed accurate ecg signal detection using dablms algorithm;robust vehicle detection and localization using normalized color illumination;digital image forgery detection using the wavelet decomposition and low level feature points;binary image reconstruction using the adaptive hybrid mechanism with swarm optimization;application of signal processing to optimize em attack on aes;resistorless realization of universal filter employing cciii and ota;face detection from digital images: A comparative study;improved iris biometric system by exploring iris texture features;feature extraction of hyperspectral face images using pca in nir;design and analysis of high gain-low power operational-amplifier for bio-medical applications;early detection of symptoms in tongue cancer through image processing;a study on adaptive wavelet technique for speckle noise removal;image enciphering using modified aes with secure key transmission;trust version of aasr.

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PAVIF: A Passive Aggressive Visual Information Fidelity for Full Reference image Quality Assessment 27

PAVIF: A Passive Aggressive Visual Information Fidelity for ...

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27th International Telecommunication Networks and applications conference (ITNAC)

作者： Ma, Xiaoyu Jiang, Xiuhua Commun Univ China Informat Engn Sch Beijing Peoples R China

ISBN: (纸本)9781509067961

Measurement of visual quality is of significant importance to many image processing tasks. The target of image quality assessment (IQA) is to design effective computational models in order to automatically predict the quality of images in a perceptual consistent manner. We propose a full reference (FR) IQA metric based on information-theoretic IQA framework and passive aggressive learning algorithm. We model the image distortion process with a signal attenuation matrix and an additive noise matrix in wavelet domain. The ridge regression is employed to get the initial attenuation matrix. The passive aggressive algorithm is then utilized in order to learn the particular attenuation matrix of each image block. At last we measure the perceptual quality by quantifying the loss of visual information to the proposed distortion model through an information-theoretic IQA framework. Our proposed metric is learning-free because the learning algorithms are adopted just in order to learn the attenuation matrix of each image block, and no training data is needed in the proposed metric. Experimental results demonstrate that our proposed IQA metric is competitive with existing learning-free IQA metrics;moreover, cross database validation shows that the proposed IQA metric has a satisfying generalization ability.

关键词： Perceptual image Quality Assessment Passive Aggressive Learning Algorithm

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Compressed Sensing and Finite Isotropic wavelets for the STIX Reconstruction Problem 12

Compressed Sensing and Finite Isotropic Wavelets for the STI...

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12th International conference on Sampling Theory and applications (SAMPTA)

作者： Duval-Poo, Miguel A. Massone, Anna Maria Piana, Michele Univ Genoa Dipartimento Matemat Via Dodecaneso 35 I-16146 Genoa Italy CNR SPIN Via Dodecaneso 33 I-16146 Genoa Italy

ISBN: (纸本)9781538615652

STIX is a X-ray imaging spectroscopy device to be mounted as part of the Solar Orbiter cluster. Its goal is to provide images and spectra of solar flaring regions. The device provides 30 measurements of the incoming photon flux which can be interpreted as spatial Fourier samples. In this paper we present a method for reconstructing the intensity image from the few provided measurements. The proposed algorithm is based on compressed sensing theory. In order to provide the needed sparsity, we build an isotropic wavelet transform which is very appropriate for the STIX measurements. The evaluation on two simulated solar flares shows the potential of the algorithm in reconstructing hard X-ray maps from STIX measurements.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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3D+T Motion Analysis with Nanosensors 40

3D+T Motion Analysis with Nanosensors

引用

conference on applications of Digital image processing XL

作者： Leduc, Jean-Pierre Reliance Core Consulting Alexandria VA 22314 USA

ISBN: (数字)9781510612501

ISBN: (纸本)9781510612501;9781510612495

This paper addresses the problem of motion analysis performed in a signal sampled on an irregular grid spread in 3-dimensional space and time (3D+T). Nanosensors can be randomly scattered in the field to form a sensor network. Once released, each nanosensor transmits at its own fixed pace information which corresponds to some physical variable measured in the field. Each nanosensor is supposed to have a limited lifetime given by a Poisson-exponential distribution after release. The motion analysis is supported by a model based on a Lie group called the Galilei group that refers to the actual mechanics that takes place on some given geometry. The Galilei group has representations in the Hilbert space of the captured signals. Those representations have the properties to be unitary, irreducible and square-integrable and to enable the existence of admissible continuous wavelets fit for motion analysis. The motion analysis can be considered as a so-called inverse problem where the physical model is inferred to estimate the kinematical parameters of interest. The estimation of the kinematical parameters is performed by a gradient algorithm. The gradient algorithm extends in the trajectory determination. Trajectory computation is related to a Lagrangian-Hamiltonian formulation and fits into a neuro-dynamic programming approach that can be implemented in the form of a Q-learning algorithm. applications relevant for this problem can be found in medical imaging, Earth science, military, and neurophysiology.

关键词： Motion Analysis Kinematical Parameters Trajectories Nanosensors Group Representations wavelet Transform Galilean wavelets Inverse Problem Q-Learning

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Identity Document Authentication using Steganographic Techniques: The Challenges of Noise 28

Identity Document Authentication using Steganographic Techni...

引用

28th Irish signals and Systems conference (ISSC)

作者： Blue, Juanita Condell, Joan Lunney, Tom Ulster Univ Intelligent Syst Res Ctr Derry North Ireland

ISBN: (纸本)9781538610466

The term 'steganography' encapsulates the practice of secretly embedding data into digital mediums including video, image and audio files. Although steganography is often associated with nefarious activities, conceptually it asserts several characteristics that render it useful in contemporary security applications. Not just a mechanism for criminals to communicate secret information over a digital channel, steganography is also used as a legitimate method of ensuring integrity of digital media artefacts and for identification of same. This application of steganography allows for identification images storing additional information to verify both the identity of the subject as well as the authenticity of the image. Developed methods of steganography invoke various spatial domain techniques that are successful in covertly concealing data within 'innocent' carrier images. The techniques include linear methods such as those which replace the least significant bit (LSB) of the bytes in an image and frequency domain methods including discrete cosine transform (DCT), discrete wavelet transform (DWT) and discrete Fourier transform (DFT). The success of a steganographic algorithm is hinged on the method's ability to successfully embed data, so that the data remains concealed within a carrier image;and also to successfully extract the same data uncorrupted. Often modern image coding formats include lossy compression in the frequency domain;this can result in data loss, corruption and noise within the image when carrier images are re-encoded. To ensure data extraction is successful, error correction functions must be invoked to counteract noise and ensure embedded data is extracted without any loss or corruption. In exploring steganographic software, the functionality and reliability of a novel steganographic application 'Intelligent Identity Authenticator' (IIA) was assessed. IIA invokes the use of steganography to conceal real-time identity information within images on iden

关键词： steganography image processing noise error-correction authentication

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Colour image watermarking based on wavelet and QR decomposition

Colour image watermarking based on wavelet and QR decomposit...

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IEEE signal processing and Communications applications (SIU)

作者： Pejman Rasti Gholamreza Anbarjafari Hasan Demirel iCV Research Group University of Tartu Tartu Estonia Department of Electrical and Electronic Engineering Eastern Mediterranean University Famagusta Turkey

ISBN: (纸本)9781509064953

In this work, a new image watermarking algorithm on colour images is proposed. The proposed algorithm divides a cover image into three colour bands of red, green and blue. Then the following tasks are done on all three channels separately. First, Each colour band is divided into patches of small sizes then the entropy of each patch is calculated. At this step a threshold is found based on the average entropy of all patches and following is applied to all patches which have entropy lower than the threshold. A wavelet representation of each patch are given by applying a discrete wavelet transform. Then Singular value decomposition, orthogonal-triangular decomposition, and a chirp z-transform are used to embed a watermark on the cover image. Several signal processing attacks are applied on watermarked images in order to robustness of the algorithm. The Proposed algorithm is compared with one conventional and two state-of-the-art algorithms. Experimental results show superiority of the proposed algorithm compare with other algorithm in the area of image watermarking.

关键词： Watermarking signal processing algorithms image color analysis Discrete wavelet transforms Robustness Entropy Mathematical model

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Research on wavelet Analysis and Its Application in image processing

Research on Wavelet Analysis and Its Application in Image Pr...

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2017 3rd International conference on Environment,Biology,Medicine and Computer applications(ICEBMCA 2017)

作者： Liu Ting Xi’An International University Institute Of Technology Department Of Computer Science And Technology

wavelet transform is a new type of mathematical tool, is the late 80 s developed rapidly emerging disciplines. wavelet transform has the characteristics of multi-resolution, in the time domain and frequency domain has the ability to characterize the local characteristics of the signal, suitable for analysis of non-stationary signal, you can gradually observe the signal by the coarse and fine. The theory and method of wavelet analysis are widely used in signal processing, image processing, speech processing, pattern recognition, quantum physics and so on. It is considered a major breakthrough in tools and methods in recent years.

关键词： wavelet Analysis Application image processing

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Hybrid technique for robust image watermarking using discrete time fourier transform

Hybrid technique for robust image watermarking using discret...

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IEEE signal processing and Communications applications (SIU)

作者： Omar Abodena Mary Agoyi Erbug Celebi Department of Management Information Systems Cyprus International University Lefkosa Turkey Department of Computer Engineering Cyprus International University Lefkosa Turkey

ISBN: (纸本)9781509064953

The current paper proposes a novel scheme for non-blind watermarking of images, making use of discrete wavelet transform (DWT), discrete time Fourier transform (DTFT), as well as singular value decomposition, or SVD. During the process of embedding, 1-level DWT is used to decompose the host image into its various frequency sub-bands. After this, the high-frequency sub band receives an application of DTFT. This is followed then by SVD, after which the watermark becomes embedded into the now-transformed host image's singular matrix. Then, the inverses of 1-level DWT, DTFT and SVD are applied in order to obtain a watermarked final image. This paper evaluates the performance of the proposed method of watermarking against a number of attacks, including sharpening, salt and pepper noise, AWGN, gamma correction, histogram equalisation, flipping and cropping. Results obtained during experiments have found that the scheme as proposed does provide high levels of robustness and imperceptibility against various signal processing attacks.

关键词： Watermarking Discrete wavelet transforms Robustness Correlation coefficient Matrix decomposition Histograms

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