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2nd International Conference on Communication Control and Intelligent systems (CCIS)

作者： Saraf, Ankita Punjabi Univ Dept Comp Sci Patiala Punjab India

ISBN: (纸本)9781509032105

Additive noise removal from a given image is an important task in digital image processing for which denoising algorithms are used. The goal of any denoising algorithm is to attenuate the noise properly and to preserve the useful content of an image. Although various denoising algorithms have been proposed to remove noise but there is still scope of improvement. The main focus of this paper is, first, analyze the basic denoising approaches and to compare them, second, to study post-stage filtering technique using method noise and reweight schemes. In this case study, we observe through our experiments that the post-filtering techniques have more potential to attenuate the noise properly, which is left by the initially applied denoising approach. The denoising performance of all considered methods is compared using two parameters: PSNR and MSSIM.

关键词： Bilateral Filtering Non-local Means Filtering Method Noise

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Melanoma image processing and analysis for decision support systems 7th

Melanoma image processing and analysis for decision support ...

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7th Pacific-Rim Symposium on image and Video Technology, PSIVT 2015

作者： Gholamhosseini, Hamid School of Engineering Auckland University of Technology Private Bag 92006 Auckland1142 New Zealand

ISBN: (纸本)9783319302843

Melanoma is the most aggressive form of skin cancer which is responsible for the majority of skin cancer related deaths. image processing and analysis of melanoma images can result in (better) detection and early diagnosis and therefore reducing the mortality rate. Efficient pre-processing, image enhancement, segmentation, feature extraction and classification techniques have been developed to improve the performance of Computer Aided Diagnosis (CAD) of melanoma images. Border detection of lesions in melanoma images is important in improving the accuracy of CAD systems in detecting melanoma. We have developed a semi-automated algorithm to discriminate the foreground lesion from skin background by clicking on a small subset of the lesion. Implementing the image processing and analysis algorithms for CAD and decision support systems is computationally demanding. However, due to high inherent parallelism of such algorithms, systems with parallel processors could be useful for accelerating but they are energy intensive and costly. Special reconfigurable hardware such as Field-Programmable Gate Arrays (FPGAs) with powerful parallel processing feature can be used for achieving necessary performance of embedded systems with efficient utilization of hardware resources. In order to achieve acceleration of the image processing and analysis algorithms, we implement the most compute-intensive algorithms of the CAD and decision support systems onto FPGA for deploying as an embedded device. A hardware/software co-design approach was proposed for implementing Support Vector Machine (SVM) classifier for classifying melanoma images online. The hybrid Zynq platform was used for implementing the proposed classifier using High Level Synthesis design methodology. The implemented SVM classification system on Zynq demonstrated high performance with low resource utilization and power consumption, meeting several embedded systems constraints. Overall, the hardware implementation on FPGA cou

关键词： Field programmable gate arrays (FPGA)

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JPEG compression with recursive group coding 14

JPEG compression with recursive group coding

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image processing: algorithms and systems xiv 2016

作者： Kozhemiakina, Nadezhda Lukin, Vladimir V. Ponomarenko, Nikolay N. Astola, Jaakko Egiazarian, Karen O. National Aerospace University Kharkov61070 Ukraine Tampere University of Technology TampereFIN 33101 Finland

A task of alternative (faster and more efficient in compression ratio sense) coding of discrete cosine transform (DCT) coefficients within JPEG based image compression approach is considered. In the data processing chain, it is proposed to apply a recursive group coding (RGC) as an alternative to arithmetic or Huffmann coding. In contrast to the aforementioned data coding techniques, the RGC method is able to efficiently code symbols of very large alphabets (each block of 8x8 pixels of quantized DCT coefficients can be represented as such 64-byte or 128-byte symbol). Comparative analysis of efficiency for the standard JPEG and its proposed modification (for three images of three different digital cameras) is carried out using six different quantization tables. It is shown that RCG possesses low computational complexity and a high speed of compression simultaneously with higher compression ratio (CR) compared to the standard JPEG. The benefit in CR appears to be larger for smaller quantization steps (QSs) that mainly correspond to SHQ (super high quality) mode. This benefit can reach up to 10%. It is also demonstrated that the benefits exists for uniform quantization tables. The proposed coding method can be used for an additional compression of JPEG-images in coding traffic of communication lines. For this purpose, data of JPEG-images have to be partly decoded (till the level of the quantized DCT coefficients) and then recoded by RGC. © 2016 Society for Imaging Science and Technology.

关键词： image compression

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Evolutional Approach to image processing on the Example of Microsections 1

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1st International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures (FIERCES on BICA)

作者： Martynenko, Tatyana Privalov, Maksim Sekirin, Aleksandr Donetsk Natl Tech Univ Artem St 58 UA-83001 Donetsk Ukraine

ISBN: (数字)9783319325545

ISBN: (纸本)9783319325545;9783319325538

The new approach is proposed to color image processing and segmentation on basis of evolutionary models. The set of objective functions was developed for the estimation of segmentation quality depending on the type of histological research. Experimental research was conducted on the example of histological images. Obtained results showed the efficiency of the developed evolutionary processing and segmentation algorithms.

关键词： image processing Recognition Evolutionary algorithm Genetic algorithm Segmentation Cancer Microsections

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Signal processing for Time-of-Flight Imaging Sensors An introduction to inverse problems in computational 3-D imaging

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IEEE SIGNAL processing MAGAZINE 2016年第5期33卷 45-58页

作者： Bhandari, Ayush Raskar, Ramesh MIT Cambridge MA 02139 USA INRIA Rennes France Nanyang Technol Univ Singapore Singapore Chinese Univ Hong Kong Hong Kong Hong Kong Peoples R China Ecole Polytech Fed Lausanne CH-1015 Lausanne Switzerland MIT Media Lab Camera Culture Res Grp Cambridge MA 02139 USA

Time-of-flight (ToF) sensors offer a cost-effective and realtime solution to the problem of three-dimensional (3-D) imaging-a theme that has revolutionized our sceneunderstanding capabilities and is a topic of contemporary interest across many areas of science and engineering. The goal of this tutorial-style article is to provide a thorough understanding of ToF imaging systems from a signal processing perspective that is useful to all application areas. Starting with a brief history of the ToF principle, we describe the mathematical basics of the ToF image-formation process, for both time- and frequency-domain, present an overview of important results within the topic, and discuss contemporary challenges where this emerging area can benefit from the signal processing community. In particular, we examine case studies where inverse problems in ToF imaging are coupled with signal processing theory and methods, such as sampling theory, system identification, and spectral estimation, among others. Through this exposition, we hope to establish that ToF sensors are more than just depth sensors; depth information may be used to encode other forms of physical parameters, such as, the fluorescence lifetime of a biosample or the diffusion coefficient of turbid/scattering medium. The MATLAB scripts and ToF sensor data used for reproducing figures in this article are available via the author?s webpage: http://***/~ayush/Code.

关键词： image sensors Signal processing Signal processing algorithms Optical sensors Optical imaging Digital imaging

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Overview of non-contact pantograph-catenary arc detection based on image processing

Smart Innovation, Systems and Technologies

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Smart Innovation, systems and Technologies 2017年 62卷 279-289页

作者： Huang, Shize Zhang, Fan Yu, Liangliang Pan, Meiyu Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji University Caoan Road Shanghai4800 China College of Electronics and Information Engineering Tongji University Caoan Road Shanghai4800 China

ISBN: (纸本)9789811035746

The pantograph-catenary system of high-speed EMU is the only way to get the power of high-speed trains. Pantograph-catenary arc fault is a kind of common fault of pantograph-catenary system, which brings fatal harm for train and becomes an important factor to hinder the stable operation of the train. The pantograph-catenary arc detection based on image processing can detect the state of pantograph-catenary system quickly, which can judge whether there is an arc in system and maintain the safety of train. Compared with the traditional detection method, it will be divided into infrared, ultraviolet and visible light accordance with the detection of the use of image information, which on the basis of summarizing all kinds of non-contact arc detection methods in recent years. The edge detection, threshold segmentation and other algorithms are summarized and the characteristics of pantograph-catenary arc are highlighted by using image enhancement technology. In view of the shortcomings of the existing non-contact pantograph-catenary arc detection, the future development is prospected. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Pantographs

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A hybrid differential evolution for optimal multilevel image thresholding

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EXPERT systems WITH APPLICATIONS 2016年 65卷 221-232页

作者： Mlakar, Urog Potocnik, Bozidar Brest, Janez Univ Maribor Fac Elect Engn & Comp Sci SI-2000 Maribor Slovenia

image thresholding is a process for separating interesting objects within an image from their background. An optimal threshold's selection can be regarded as a single objective optimization problem, where obtaining a solution can be computationally expensive and time-consuming, especially when the number of thresholds increases greatly. This paper proposes a novel hybrid differential evolution algorithm for selecting the optimal threshold values for a given gray-level input image, using the criterion defined by Otsu. The hybridization is done by adding a reset strategy, adopted from the Cuckoo Search, within the evolutionary loop of differential evolution. Additionally a study of different evolutionary or swarm-based intelligence algorithms for the purpose of thresholding, with a higher number of thresholds was performed, since many real-world applications require more than just a few thresholds for further processing. Experiments were performed on eleven real world images. The efficiency of the hybrid was compared to the cuckoo search and self-adaptive differential evolution, the original differential evolution, particle swarm optimization, and artificial bee colony where the results showed the superiority of the hybrid in terms of better segmentation results with the increased number of thresholds. Since the proposed method needs only two parameters adjusted, it is by far a better choice for real-life applications. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： image segmentation Differential evolution Multilevel thresholding Otsu criterion Hybridization

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Methods of Natural image Preprocessing Supporting the Automatic Text Recognition Using the OCR algorithms

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8th International Conference on image processing and Communications (IP and C)

作者： Lech, Piotr Okarma, Krzysztof West Pomeranian Univ Technol Szczecin Poland Fac Elect Engn Dept Signal Proc & Multimedia Engn 26 Kwietnia 10 PL-71126 Szczecin Poland

ISBN: (纸本)9783319238142;9783319238135

Reading text from natural images is much more difficult than from scanned text documents since the text may appear in all colors, different sizes and types, often with distorted geometry or textures applied. The paper presents the idea of high-speed image preprocessing algorithms utilizing the quasi-local histogram based methods such as binarization, ROI filtering, line and corners detection, etc. which can be helpful for this task. Their low computational cost is provided by a reduction of the amount of processed information carried out by means of a simple random sampling. The approach presented in the paper allows to minimize some problems with the implementation of the OCR algorithms operating on natural images on devices with low computing power (e.g. mobile or embedded). Due to relatively small computational effort it is possible to test multiple hypotheses e.g. related to the possible location of the text in the image. Their verification can be based on the analysis of images in various color spaces. An additional advantage of the discussed algorithms is their construction allowing an efficient parallel implementation further reducing the computation time.

关键词： image binarization Natural images OCR

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Abstracting Data and image processing systems using a Component-based Domain Specific Language 4

Abstracting Data and Image Processing Systems using a Compon...

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4th International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Hoegg, Thomas Koehler, Christian Kolb, Andreas Univ Siegen Comp Graph & Multimedia Syst Grp Hoelderlinstr 3 D-57076 Siegen Germany

ISBN: (纸本)9789897582325

This work proposes a textual and graphical domain-specific language (DSL) designed especially for modeling and writing data and image processing algorithms. Since reusing algorithms and other functionality leads to higher program quality and mostly shorter development time, this approach introduces a novel component-based language design. Special diagrams and structures, such as components, component-diagrams and component-instance-diagrams are introduced. The new language constructs allow an abstract and object-oriented description of data and image processing tasks. Additionally, a compatible graphical design interface is proposed, giving modelers and architects the opportunity to decide which kind of modeling they prefer (graphical or textual, including round-trip engineering).

关键词： Modeling Components Domain-specific Languages image processing

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CORDIC-lifting factorization of paraunitary filter banks based on the quaternionic multipliers for lossless image coding

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MULTIDIMENSIONAL systems AND SIGNAL processing 2016年第3期27卷 667-695页

作者： Petrovsky, Nick Stankevich, Andrew Petrovsky, Alexander Belarusian State Univ Informat & Radioelect P Browki Str 6 Minsk 220013 BELARUS

Quaternions have offered a new paradigm to the signal processing community: to operate directly in a multidimensional domain. We have recently introduced the quaternionic approach to the design and implementation of paraunitary filter banks: four- and eight-channel linear-phase paraunitary filter banks, including those with pairwise-mirror-image symmetric frequency responses. The hypercomplex number theory is utilized to derive novel lattice structures in which quaternion multipliers replace Givens (planar) rotations. Unlike the conventional algorithms, the proposed computational schemes maintain losslessness regardless of their coefficient quantization. Moreover, the one regularity conditions can be expressed directly in terms of the quaternion lattice coefficients and thus easily satisfied even in finite-precision arithmetic. In this paper, a novel approach to realizing CORDIC-lifting factorization of paraunitary filter banks is presented, which is based on the embedding of the CORDIC algorithm inside the lifting scheme. Lifting allows for making multiplications invertible. The 2D CORDIC engine using sparse iterations and asynchronous pipeline processor architecture based on the embedded CORDIC engine as stage of processor is reported. Also it is necessary to notice, that the quaternion multiplier lifting scheme based on the 2D CORDIC algorithm is the structural decision for the lossless digital signal processing. This approach applies to very practical filter banks, which are essential for image processing, and addresses interesting theoretical questions.

关键词： Paraunitary fillter bank Quaternion Hypercomplex numbers Losslessness Regularity image coding

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