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Photonics North

作者： Eliot Bolduc Megan Agnew Jonathan Leach SUPA Heriot-Watt University Edinburgh UK

We implement Poisson denoising algorithms that are fast enough to allow real-time processing of images produced by a single photon avalanche detector (SPAD) camera. This work has applications in low-light-level survei... 详细信息

ISBN: (纸本)9781509013746

关键词： Photonics Cameras Noise reduction Real-time systems Detectors image denoising

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Sobel edge detection system design and integration on an FPGA based HD video streaming architecture

Sobel edge detection system design and integration on an FPG...

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International Design and Test Workshop

作者： Abdelkader Ben Amara Edwige Pissaloux Mohamed Atri Information processing and Systems University of Rouen France

ISBN: (纸本)9781509049011

Complex image processing algorithms (e.g. Sobel edge detection) combined with higher resolution video streaming, are so computationally and put bigger demands on processing power. Unlike the software solutions, parallel solutions satisfy well these algorithms' performance, but using a programmable logic such as FPGA's can provide us more. Driven by the rapid technological advances, today it's possible to combine a high-speed CPU and an FPGA technology on a single system on Chip (SoC), such as the Xilinx Zynq 7000 series. In this paper, we present a HD video streaming architecture and a Sobel edge detection IP core design and implementation using a high-level synthesis workflow. A HD video with a 1080p resolution streamed from a laptop HDMI interface. The processed videos were displayed by the use of a monitor. For implementation, we used a Digilent ZYBO Zynq ZC7010 based platform and our experimental results will be compared with an NVIDIA M840 GPU.

关键词： Streaming media image edge detection IP networks High definition video Computer architecture Field programmable gate arrays Software

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Real-time speech communication system based on optimized G.723.1

Real-time speech communication system based on optimized G.7...

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International Conference on Audio, Language and image processing, ICALIP

作者： Guoliang Chen Wanggen Wan Kang Han Haoyu Chen Institute of Smart City Shanghai University Shanghai China

ISBN: (纸本)9781509006557

A qualified speech communication is quite important in modern communication. Thus, the implementation of security algorithms is also very important to achieve real-time applications. In this paper, we design a robust and full-duplex real-time speech communication system based on Texas Instrument's 32-bit floating point DSP TMS320C6748. We use ITU-T G.723.1 as the audio codec in this system. According to the hardware of the system and also to meet the requirement of high-quality and real-time communication, several methods are introduced in this paper to optimize the algorithm. Through the optimization, time spending in compression and decompression reduce from more than 1000ms to about 10ms which guarantees a real-time communication. Our designed system has been successfully used for the speech communication of railway system.

关键词： Digital signal processing Speech Decoding Real-time systems Random access memory Codecs Speech coding

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Glaucoma Diagnosis by Means of Optic Cup Feature Analysis in Color Fundus images

Glaucoma Diagnosis by Means of Optic Cup Feature Analysis in...

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European Signal processing Conference

作者： Andres Diaz Sandra Morales Valery Naranjo Pablo Alcocer Aitor Lanzagorta Instituto de Investigacion e Innovacion en Bioingenieria I3B Universitat Politecnica de Valencia Grupo Tecnologias de Informatica Aplicadas a la Oftalmologia

ISBN: (纸本)9781509018918

Glaucoma is an asymptomatic eye disease and one of the major causes of irreversible blindness worldwide. For this reason, there have been significant advances in automatic screening tools for early detection. In this paper, an automatic glaucoma diagnosis algorithm based on retinal fundus image is presented. This algorithm uses anatomical characteristics such as the position of the vessels and the cup within the optic nerve. Using several color spaces and the Stochastic Watershed transformation, different characteristics of the optic nerve were analyzed in order to distinguish between a normal and a glaucomatous fundus. The proposed algorithm was evaluated on 53 images (24 normal and 29 glaucomatous images). The specificity and sensitivity obtained by the proposed algorithm are 0.81 and 0.87 using Luv color space, which means considerable performance in diagnosis systems.

关键词： Optical imaging image color analysis Optical signal processing Signal processing algorithms Biomedical optical imaging image segmentation Optical sensors

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Inversion of GPR data: 2D forms reconstruction for cavities based on born approximation, TSVD regularization and image processing algorithms

Inversion of GPR data: 2D forms reconstruction for cavities ...

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International Conference on Information Technology for Organizations Development (IT4OD)

作者： Houda Harkat Saad Dosse Bennani Anas Mansouri Abdellatif Slimani Faculty of Science and Technology Laboratory Renewable Energy and Intelligent Systems Fez Morocco

This paper represents a literature review of research works concerning the reconstruction of forms of buried objects in an homogeneous soil, applied for the reconstruction of forms of underground cavities. First, we will set modeling as integral function, of the nonlinear inverse problem to solve. In general, this problem is solved through a regularization technique, the TSVD technical (Trunced Singular Value Decomposition), which is more efficient than the method of Thikhonov, because of its simplicity and minimal cost calculation. Regularization techniques are employed because the experimental data are still affected by noise. Secondly, we will discuss the influence of the choice of certain parameters, the quality of the reconstructed tomographic images. Third, we will take advantage from the image processing module of the Opencv Library to estimate the shape of the buried cavities, based on the treatment of the resulting images, using Douglas-Peucker algorithm. The case studied here is the one of a dispersive low conductivity half-space, where is embedded the anomaly which is a cavity filled with a dielectric.

关键词： Mathematical model image reconstruction Cavity resonators Scattering Approximation methods Approximation algorithms Inverse problems

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Implementation of image processing algorithms Based on GPU

Implementation of Image Processing Algorithms Based on GPU

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International Scientific and Technical Conference on Computer Science and Information Technologies

作者： Ivan Tsmots Oleh Berezkyi Ihor Ihnatiev Iryna Gumovska Automated control systems Department Lviv Polytechnic National University Computer Engineering Department Ternopil National Economic University Department of Foreign Languages and Professional Communication Ternopil National Economic University

ISBN: (纸本)9781509027415

The most perspective direction in the image processing became the use of graphics processing units (GPU). The main advantage of it is the exceptional dedication to work with 2d and 3d graphics, respectively processing large volumes of similar data. The consequence of this was the emergence of a single graphics card on the board of several stream processors responsible for performing the same type of command. However, a major breakthrough in the use of the GPU is the emergence of the possibility of programming the stream processors (vertex and pixel) image processing. The special feature of the group of processors are parallel processing, i.e., for a pixel processor unit is one piece or texel. For example, modern GPU carry on board more than 1,000 stream processors, each type of which can significantly improve performance by parallel use of all processors. Work related to the parallelization takes on the GPU, the engineer must identify only the basic algorithm for a single processor.

关键词： Neural oriented computer system An integrated approach Principles Structure Specialized module algorithm CUDA

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A hybrid technique for remove fog from image using edges and color enhancement method, adjustable empirical function with Wiener filter

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2016年第2期9卷 379-392页

作者： Chauhan, Ekta Dept of computer science Engg Maharana Pratap College Of Technology Gwalior India

At present, greatest outdoor video-surveillance, optical remote sensing systems and driver-assistance have been designed to work under decent visibility weather conditions. Less visibility often happens weather of hazy or foggy conditions and can strongly influence accuracy or even general functionality of such vision systems. Fog reduces the visibility of a scene and thus the performance of numerous algorithms of computer vision which use feature knowledge. Fog formation is the function of the depth. Estimation of depth knowledge is under constraint problem if single image is presented. Hence, fog removal need assumptions or prior information. In this paper, present a novel algorithm for fog or haze removal purpose with combination of edge enhancement method, color enhancement method, adjustable empirical function and also Wiener filter for efficient outcomes. © 2016 SERSC.

关键词： Fog

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Iterative-Grouping and image PTS for PAPR reduction in OFDM system

Iterative-Grouping and image PTS for PAPR reduction in OFDM ...

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International Conference on Signal processing and Integrated Networks (SPIN)

作者： Alok Joshi Khushboo Nigam Shubham Bansal Department of ECE JIIT NOIDA

ISBN: (纸本)9781467391986

Orthogonal Frequency Division Multiplexing (OFDM) which is widely used transmission technique for all 4G communication systems faces a major issue of Peak to average power ratio (PAPR). Partial Transmit Sequence (PTS) is the most preferred technique for the reduction of PAPR. But it involves complex searching algorithms for finding the most optimal combinations of OFDM signals. Increased complexity with any increase in the number of sub-blocks is a major drawback of PTS. In this paper, Iterative-Grouping and image-PTS (IGI-PTS) technique is proposed which mainly focuses on reducing the computational complexity involved in search of optimal phase factors. It is combination of two basic grouping and imaging techniques and further using iterations to simplify the searching process when the numbers of sub-blocks are in significantly high.

关键词： Partial transmit sequences Peak to average power ratio Signal processing Computational complexity Wireless communication

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Hardware-in-the-loop simulation platform for image-based object tracking method using small UAV

Hardware-in-the-loop simulation platform for image-based obj...

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Conference on Digital Avionics systems (DASC)

作者： Seung-hyeon Cheon Seok-wun Ha Yong-ho Moon Dept. of Aerospace Engineering Gyeongsang National University Jinju Rep. of Korea Dept. of Aerospace and Software Engineering/ERI Gyeongsang National University Jinju Rep. of Korea

ISBN: (纸本)9781509025244

In this paper, a hardware-in-the loop simulation (HILS) platform is presented for verifying the image-based object tracking method adopted in the small Unmanned Aerial Vehicle (sUAV). The platform is constructed by image processing module, scene generation module, and flight control module. In the image processing module, the motion of target object is measured by using the speeded-up robust features (SURF) algorithm and the feature matching technique. And then, control command is provided to allow the target object to be tracked by sUAV automatically. The JMAVSIM software developed by PX4 dev-team is used in the proposed platform to simulate the flight of sUAV and provide virtual scene and flight data. Pixhawk based on PX4 firmware which is a popular flight control computer is used as flight control module in the proposed platform. Experimental results show that the object tracking method based on sUAV is effectively tested and evaluated in the proposed HILS platform.

关键词： Object tracking Aerospace control Feature extraction Target tracking Object recognition Software algorithms

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License plate detection using point of interest detectors and descriptors

License plate detection using point of interest detectors an...

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International Conference on Telecommunications and Signal processing (TSP)

作者： Karel Horak Jan Klecka Petr Novacek Department of Control and Instrumentation Brno University of Technology Brno Czech Republic

ISBN: (纸本)9781509012893

A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected detectors and descriptors listed here: Harris, Shi&Tomasi, MSER, FAST, SURF and BRISK. These algorithms have been implemented, tested and compared each other from a point of view of their stability and repeatability. Our experiments were performed on a license plate localization task and carried out over an extensive gallery of real vehicle images.

关键词： Licenses Detectors Feature extraction Algorithm design and analysis Eigenvalues and eigenfunctions Measurement image resolution

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