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An enhanced algorithm for image compression and denoising based on discrete wavelet transform

International Journal of Simulation: systems, Science and Technology 2016年第17期17卷 3.1-3.6页

作者： Yang, Duanli Wang, Aixin Wang, Yi Jin College of Information Science and Technology Agricultural University of Hebei Baoding071001 China

Through enhancement algorithm of wavelet theory, this paper introduced traditional image, based on the review of the research and summary of the predecessors, analyzed and improved the results of previous studies, to see the traditional image enhancement algorithm and the advantages and disadvantages, and put forward their own views, traditional methods such as gray transform, histogram transform, spatial filtering and frequency domain filtering are studied, their applicability and limitations of the comparison of several algorithms, their advantages and disadvantages are: histogram equalization for continuous gray image processing effect is very good, but for the gray distribution is scattered on both ends of the reinforcing the effect is not ideal. Some problems of the traditional processing algorithms are analyzed, and we apply the wavelet transform theory to the image enhancement. A combined weighted de-noising is proposed, and the image nonlinear function and the wavelet coefficient enhancement method based on wavelet coefficients are proposed. © 2016, UK Simulation Society. All rights reserved.

关键词： image denoising

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Underwater image descattering and quality assessment

Underwater image descattering and quality assessment

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IEEE International Conference on image processing

作者： Huimin Lu Yujie Li Xing Xu Li He Yun Li Donald Dansereau Seiichi Serikawa Kyushu Institute of Technology Japan Yangzhou University China University of Electrical Science and Technology of China China Qualcomm R&D Center USA Queensland University of Technology Australia

ISBN: (纸本)9781467399623

Vision-based underwater navigation and object detection requires robust computer vision algorithms to operate in turbid water. Many conventional methods aimed at improving visibility in low turbid water. In this paper, we propose a novel contrast enhancement to enhance high turbid underwater images using descattering and color correction. The proposed enhancement method removes the scatter and preserves colors. In addition, as a rule to compare the performance of different image enhancement algorithms, a more comprehensive image quality assessment index Qu is proposed. The index combines the benefits of SSIM index and color distance index. Experimental results show that the proposed approach statistically outperforms state-of-the-art general purpose underwater image contrast enhancement algorithms. The experiment also demonstrated that the proposed method performs well for image classification.

关键词： Integrated circuits Decision support systems Indexes Manganese Optical imaging Pattern analysis Intelligent transportation systems

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A programmable and reconfigurable core for binary image processing

A programmable and reconfigurable core for binary image proc...

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International Workshop on Reconfigurable Communication-Centric systems-on-Chip (ReCoSoC)

作者： Ayad Dalloo Alberto Garcia-Ortiz Institute of Electrodynamics and Microelectronics University of Bremen

ISBN: (纸本)9781509025213

Binary-image processing cores are extremely useful in many image and video applications such as object recognition, tracking, motion detection, and identification. To address the variety of applications and binary-image kernels, we propose an FPGA-based intellectual property core with enhanced flexibility: it is programmable, reconfigurable, and parameterizable. The core performs single binary image kernels (morphological operations) and even complete algorithms composed by sequences of operations; the algorithms' control does not require an external processor as in previous approaches. The reconfiguration features allow adapting the image size, structuring element, and even image parallelism for some operations at run-time. Finally, the parameterization allows defining the maximum image, feature, and command-buffer sizes as well as the number of pixel processing units at compile time. The careful combination of programmability, reconfigurability, and parameterization produces a flexible yet efficient binary-image processing architecture. A detailed experimental validation using a Virtex 5 platform assesses the advantages of the proposed architecture versus previous approaches. The results show that the core can process about 1500 frames per second for 32 operations for a 1024 × 1024 image and 5×5 structure-element at 100MHz frequency. The results demonstrate that the core is suitable for real-time binary image processing applications.

关键词： Morphological operations Field programmable gate arrays Real-time systems Object recognition Kernel Parallel processing

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14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for systems Reliability, Maintainability and Safety

14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New ...

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14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for systems Reliability, Maintainability and Safety

The proceedings contain 85 papers. The topics discussed include: method for temperature measuring inside a cylindrical body based on surface measurements;reconstructing sunshine duration and solar radiation long-term evolution for Italy: a challenge for quality control and homogenization procedures;wireless sensor acceleration of moving elements for condition monitoring of mechanisms;image processing of light-scattering images for the qualitative surface analysis;test rig model development and validation for the diagnosis of rolling element bearings;drug under skin meter (DUSM): a portable bio-impedance spectroscope for assessing transdermal drug delivery;high-resolution optical rangefinder for industrial monitoring;Er:glass microlaser for coherent OTDR diagnostic;simulation and modeling of self-powered wireless sensor node for railway vehicles;magnetic field mapper based on rotating coil;availability comparison between distributed and concentrated UPS control systems;methods, techniques and algorithms for condition based maintenance of railway vehicles;interfacing external sensors with android smartphones through near field communication;metrological self-check as a perspective trend of technical diagnostics;and a probabilistic method to assess uncertainty in vision based modal analysis techniques.

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Adaptive illumination backlight panel for ELISA imaging systems

Adaptive illumination backlight panel for ELISA imaging syst...

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IEEE Canadian Conference on Electrical and Computer Engineering

作者： Tejaswi Ogirala Ashley Eapen Katrina G. Salvante Pablo A. Nepomnaschy M. Ash Parameswaran School of Engineering Science Simon Fraser University Burnaby Canada Faculty of Health Sciences Simon Fraser University Burnaby Canada

ISBN: (纸本)9781467387224

This paper demonstrates the adaptive illumination methods for the implementations of Colorimetric (also known as absorbance detection), Fluorescence and Luminescence ELISA models using a standalone or mobile imaging setup with data processing techniques and prediction algorithms. These ELISA modelling systems, mainly depend on the quality of the images and the image processing algorithms employed for accuracy and reliability. The assay concentration estimations for such systems are greatly dependent upon the light absorbance and transmittance properties of the chemical compounds that make up the analytic biochemistry assay and are highly influenced by the quality and intensity of the backlight panel used in these device setups. The goal is to develop an independent lighting module which would subsequently result in better images, and a more accurate system that would be applicable for a wide variety of ELISA imaging systems.

关键词： Imaging systems image quality Enzyme-Linked Immunosorbent Assay Lighting Prediction algorithms image processing algorithm chemical compounds illumination Device Panel images Self tuning

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Data, protocol and algorithms for performance evaluation of text detection in Arabic news video

Data, protocol and algorithms for performance evaluation of ...

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International Conference on Advanced Technologies for Signal and image processing (ATSIP)

作者： Oussama Zayene Sameh Masmoudi Touj Jean Hennebert Rolf Ingold Najoua Essoukri Ben Amara Department of Informatics University of Fribourg Fribourg Switzerland SAGE group School of Sousse Sousse Tunisia Institute of Complex Systems HES-SO University of Applied Science Western Switzerland

ISBN: (纸本)9781467385275

Benchmark datasets and their corresponding evaluation protocols are commonly used by the computer vision community, in a variety of application domains, to assess the performance of existing systems. Even though text detection and recognition in video has seen much progress in recent years, relatively little work has been done to propose standardized annotations and evaluation protocols especially for Arabic Video-OCR systems. In this paper, we present a framework for evaluating text detection in videos. Additionally, dataset, ground-truth annotations and evaluation protocols, are provided for Arabic text detection. Moreover, two published text detection algorithms are tested on a part of the AcTiV database and evaluated using a set of the proposed evaluation protocols.

关键词： Protocols Databases image edge detection Optical character recognition software Detection algorithms Detectors XML

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A C++ generic parallel pattern interface for stream processing 16th

A C++ generic parallel pattern interface for stream processi...

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16th International Conference on algorithms and Architectures for Parallel processing, ICA3PP 2016

作者： Astorga, David del Rio Dolz, Manuel F. Sanchez, Luis Miguel Blas, Javier García Daniel García, J. Department of Computer Science University Carlos III of Madrid Leganés28911 Spain

ISBN: (纸本)9783319495828

Current parallel programming frameworks aid to a great extent developers to implement applications in order to exploit parallel hardware resources. Nevertheless, developers require additional expertise to properly use and tune them to operate on specific parallel platforms. On the other hand, porting applications between different parallel programming models and platforms is not straightforward and requires, in most of the cases, considerable efforts. Apart from that, the lack of highlevel parallel pattern abstractions in these frameworks increases even more the complexity for developing parallel applications. To pave the way in this direction, this paper proposes GrPPI, a generic and reusable high-level parallel pattern interface for stream-based C++ applications. Thanks to its high-level C++ API, this interface allows users to easily expose parallelism in sequential applications using already existing parallel frameworks, such as C++ threads, OpenMP and Intel TBB. We evaluate this approach using an image processing use case to demonstrate its benefits from the usability, flexibility, and performance points of view. © Springer International Publishing AG 2016.

关键词： Parallel programming

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Designing a compact MRI motion phantom

Designing a compact MRI motion phantom

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作者： Schmiedel, Max Moeller, Anita Koch, Martin A. Mertins, Alfred Medical Engineering Science Ratzeburger Allee 160 Lübeck23562 Germany Institute for Signal Processing Ratzeburger Allee 160 Lübeck23562 Germany Institute of Medical Engineering Ratzeburger Allee 160 Lübeck23562 Germany

Even today, dealing with motion artifacts in magnetic resonance imaging (MRI) is a challenging task. image corruption due to spontaneous body motion complicates diagnosis. In this work, an MRI phantom for rigid motion is presented. It is used to generate motion-corrupted data, which can serve for evaluation of blind motion compensation algorithms. In contrast to commercially available MRI motion phantoms, the presented setup works on small animal MRI systems. Furthermore, retrospective gating is performed on the data, which can be used as a reference for novel motion compensation approaches. The motion of the signal source can be reconstructed using motor trigger signals and be utilized as the ground truth for motion estimation. The proposed setup results in motion corrected images. Moreover, the importance of preprocessing the MRI raw data, e.g. phase-drift correction, is demonstrated. The gained knowledge can be used to design an MRI phantom for elastic motion. © 2016 Max Schmiedel et al., licensee De Gruyter.

关键词： Magnetic resonance imaging

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Farey sequences and image processing of brain images

Farey sequences and image processing of brain images

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International Conference on Signal processing, Communication, Power and Embedded System (SCOPES)

作者： M Poornima S. Jagannathan R Chandrasekhar Department of Mathematics SJB Institute of Technology Bangalore Department of Computer Science Engineering APSCE Bangalore Department of MCA T John Institute of Technology Bangalore

ISBN: (纸本)9781509046218

In this paper brings out Farey sequence and its applications to image processing for cerebrum images. This proposed system diminishes computational complexity, computation time and minimizing computational floating point blunder rate. We show how this technique can be connected in developing fast image processing algorithms for brain images for minimizing total floating point error rate by simulating algorithm using Matlab ® reproduction bundle. Acquired results from calculations are quicker and easier to justify than those previously known in the image processing literature.

关键词： Signal processing algorithms Signal processing Brain Embedded systems image segmentation Level set

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Unmanned Aerial Vehicle Based Forest Fire Monitoring and Detection Using image processing Technique 7

Unmanned Aerial Vehicle Based Forest Fire Monitoring and Det...

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IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Yuan, Chi Ghamry, Khaled A. Liu, Zhixiang Zhang, Youmin Concordia Univ Dept Mech & Ind Engn Montreal PQ Canada Xian Univ Technol Dept Informat & Control Engn Xian 710048 Shaanxi Peoples R China Concordia Univ Montreal PQ Canada

ISBN: (纸本)9781467383189

Early forest fire alarm systems are critical in making prompt response in the event of unexpected hazards. Cost-effective cameras, improvements in memory, and enhanced computation power have all enabled the design and real-time application of fire detecting algorithms using light and small-size embedded surveillance systems. This is vital in situations where the performance of traditional forest fire monitoring and detection techniques are unsatisfactory. This paper presents a forest fire monitoring and detection method with visual sensors onboard unmanned aerial vehicle (UAV). Both color and motion features of fire are adopted for the design of the studied forest fire detection strategies. This is for the purpose of improving fire detection performance, while reducing false alarm rates. Indoor experiments are conducted to demonstrate the effectiveness of the studied forest fire detection methodologies.

关键词： Fires

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