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conference on algorithms and systems for Optical Information processing V

作者： Van Nevel, AJ USN Air Warfare Ctr China Lake CA 93555 USA

ISBN: (纸本)0819441856

In this paper we present a brief review and examples of image registration. When one wishes to fuse multiple images from disparate sources, the first step is image registration, finding the appropriate transform which maps pixels in image 1 to the corresponding pixels in image 2. Only after this step one may begin to correctly fuse and process information from both images simultaneously.

关键词： image registration Data processing Sensors image fusion image sensors Target detection Video LIDAR image enhancement image processing

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DARPA benchmark image processing on SIMD parallel machines

DARPA benchmark image processing on SIMD parallel machines

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1996 IEEE 2nd International conference on algorithms and Architectures for Parallel processing (ICA3PP 96)

作者： Cucchiara, R Piccardi, M Univ of Ferrara Ferrara Italy

ISBN: (纸本)0780335295

The aim of this paper is to present a comparative analysis of the execution times of low-level vision algorithms on two different SIMD parallel machines. The set of algorithms is part of the DARPA image Understanding benchmark, a widely-accepted platform for performance comparison of parallel systems in the field of computer vision. The considered computer architectures represent two opposite solutions in terms of granularity in approaching the SIMD paradigm, one with a coarse-grain array of floating-point processors and the other with a fine-grain array of single-bit processing elements. For these reasons, the set of algorithms was implemented on both systems taking into account machine specificities. In this work some insights into implementation issues and a comparative analysis of the assessed execution times are presented.

关键词： parallel image processing SIMD arrays benchmark

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Real time correlation processing of television communication channel video data

Real time correlation processing of television communication...

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conference on Advanced Signal processing algorithms, Architectures, and Implementations xi

作者： Larkin, A Volkov, L Moscow Engn Phys Inst Coherent Photon Ctr Moscow 115409 Russia

ISBN: (纸本)0819441880

Electron-optical image converters (EOIC) have been known to be useful in recording and investigating highspeed processes, nuclear physics experiments, automatic environmental control, medicine etc. In this paper the cathode ray tubes with the cathodoluminescent screen having a sufficiently high level of the radiation temporal coherence (particularly on the basis of rare-earth phosphors) are proposed to be utilised as devices for the dynamic data input into the holographic correlator for realisation of TV signal recognition in real time. This approach allows combining both the radiation source and the spatial light modulator functions in one compact device.

关键词： image processing Holography CRTs Optical correlators Data communications Temporal coherence Televisions Data processing Video Video processing

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Quantitative Modelling of image processing algorithms for Hardware Implementation

Quantitative Modelling of Image Processing Algorithms for Ha...

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2015 conference on Design of Circuits and Integrated systems (DCIS)

作者： Szydzik, Tomasz Callico, Gustavo M. Nunez, Antonio Univ Las Palmas Gran Canaria Inst Appl Microelect Las Palmas Gran Canaria Spain Univ Las Palmas Gran Canaria Dept Elect Engn & Control Las Palmas Gran Canaria Spain

ISBN: (纸本)9781467372282

Availability of hardware implementations of super-resolution image reconstruction algorithms is limited mostly by their logical and memory requirements. This is also the case for other image processing algorithms such as hyperspectral, image compression, image coding, video coding. In previous publications we have introduced a new execution flow that tackles the problem of high memory requirements of a restoration-interpolation super-resolution kernel by carrying out processing in a macroblock-by-macroblock manner. In this work we present the modelling framework used for the evaluation of the proposed execution flow. The modelling process is presented in a step-by-step manner by means of a real-life example of implementation of super-resolution image reconstruction with description of the choices made at every stage and explanation of the reasoning behind. In the presented case the use of the proposed frame-work led to a hardware implementation with real-time capabilities. This frame-work can be applied to similar algorithms, helping system designers in achieving better work organization and efficiency.

关键词： Modelling Simulation super-resolution communications traffic evaluation memory requirements reduction trade offs

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RECOGNITION OF PLANT-PARTS WITH PROBLEM SPECIFIC algorithms 4

RECOGNITION OF PLANT-PARTS WITH PROBLEM SPECIFIC ALGORITHMS

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4th conference on Hybrid image and Signal processing

作者： SCHWANKE, J BRENDEL, T JENSCH, P MEGNET, R CARL VON OSSIETZKY UNIV FACHBEREICH INFORMATD-26111 OLDENBURGGERMANY

ISBN: (纸本)0819415421

Automatic micropropagation is necessary to produce cost-effective high amounts of biomass. Juvenile plants are dissected in clean- room environment on particular points on the stem or the leaves. A vision-system detects possible cutting points and controls a specialized robot. This contribution is directed to the pattern- recognition algorithms to detect structural parts of the plant.

关键词： Detection and tracking algorithms image segmentation Control systems Evolutionary algorithms image processing algorithms and systems 3D image processing Pattern recognition Transform theory Contamination image filtering

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High Level Synthesis using Vivado HLS for Zynq SoC: image processing Case Studies 31

High Level Synthesis using Vivado HLS for Zynq SoC: Image Pr...

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31st conference on Design of Circuits and Integrated systems (DCIS)

作者： Cortes, A. Velez, I. Irizar, A. CEIT Dept Elect & Commun Manuel de Lardizabal 15 San Sebastian 20018 Spain Univ Navarra Tecnun Manuel de Lardizabal 15 San Sebastian 20018 Spain

ISBN: (纸本)9781509045655

In this paper, image processing algorithms designed in Zynq SoC using the Vivado HLS tool are presented and compared with hand-coded designs. In Vivado HLS, the designer has the opportunity to employ libraries similar to OpenCV, a library that is well-known and wide used by software designers. The algorithms are compared in terms of area resources in two conditions: using the libraries and not using the libraries. The case studies are Data Binning, a Step Row Filter and a Sobel Filter. These algorithms have been selected because they are very common in the field of image processing and they have high computational complexity. The main benefit of the Vivado HLS tool is the reduction in time-to-market. On the other hand, when a software designer hand-codes the design, the use of image processing libraries similar to OpenCV helps to reduce development time even further because software designers are familiar with them. However, using these kinds of libraries significantly increases the necessary FPGA resources.

关键词： image processing

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HQ-I2IT: Redesign the optimization scheme to improve image quality in CycleGAN-based image translation systems

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IET image processing 2024年第2期18卷 507-522页

作者： Zhang, Yipeng Hu, Bingliang Huang, Yingying Gao, Chi Yin, Jianfu Wang, Quang Chinese Acad Sci Xian Inst Opt & Precis Mech Key Lab Spectral Imaging Technol 17 Informat Ave Xian 710119 Shaanxi Peoples R China Key Lab Biomed Spect Xian Xian Shaanxi Peoples R China Univ Chinese Acad Sci Sch Optoelect Beijing Peoples R China

The image-to-image translation (I2IT) task aims to transform images from the source domain into the specified target domain. State-of-the-art CycleGAN-based translation algorithms typically use cycle consistency loss and latent regression loss to constrain translation. In this work, it is demonstrated that the model parameters constrained by the cycle consistency loss and the latent regression loss are equivalent to optimizing the medians of the data distribution and the generative distribution. In addition, there is a style bias in the translation. This bias interacts between the generator and the style encoder and visually exhibits translation errors, e.g. the style of the generated image is not equal to the style of the reference image. To address these issues, a new I2IT model termed high-quality-I2IT (HQ-I2IT) is proposed. The optimization scheme is redesigned to prevent the model from optimizing the median of the data distribution. In addition, by separating the optimization of the generator and the latent code estimator, the redesigned model avoids error interactions and gradually corrects errors during training, thereby avoiding learning the median of the generated distribution. The experimental results demonstrate that the visual quality of the images produced by HQ-I2IT is significantly improved without changing the generator structure, especially when guided by the reference images. Specifically, the Frechet inception distance on the AFHQ and CelebA-HQ datasets are reduced from 19.8 to 10.2 and from 23.8 to 17.0, respectively. In this work, it is demonstrated that the cycle consistency loss and latent regression loss in CycleGAN-based image translation models can be detrimental to image quality. The optimization scheme of CycleGAN-based image translation systems is redesigned and a new translation model named HQ-I2IT is proposed. Experiments demonstrate that the proposed method can significantly improve image quality and translation ***

关键词： computer animation computer vision image processing

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Recognition of selected fingerprints and iris features enhanced by curvelet transform with Artificial Neural Networks

Recognition of selected fingerprints and iris features enhan...

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15th International conference on systems, Signals and image processing

作者： Altun, Adem Alpaslan Selcuk Univ Dept Elect & Comp Educ Tech Educ Fac TR-42075 Konya Turkey

ISBN: (纸本)9788022728560

Biometric systems based on one-modal biometrics are often not able to meet the desired performance requirements for large user population applications, due to problems such as noisy data, intra-class variations, restricted degrees of freedom, non-university, spoof attacks, and unacceptable error rates. Therefore, multimodal biometrics refers to the use of a combination of two or more biometric modalities in a single recognition or identification system. In order to ensure that the performance of multibiometric systems such as fingerprint and iris will be powerful with respect to the quality of obtained fingerprint and iris images, these images are denoised and enhanced. In this study, curvelet transform is applied biometric images for enhancement. Obtained results after applied curvelet transform is compared to the other traditional image enhancement algorithms. Features obtained from enhanced fingerprints and iris images are selected by using Genetic algorithms because of too huge dataset. Selected features are input to Artificial Neural Networks for biometric recognition. Thus, the recognition is achieved very fast without to reduce the performance.

关键词： multibiometric recognition image enhancement image denoising artificial neural networks

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3-Dimension Radiosurgery Treatment Planning System and some new algorithms used in it

3-Dimension Radiosurgery Treatment Planning System and some ...

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IEEE International conference on Intelligent processing systems

作者： Zhang, DL xiao, H xiao, YP Qu, GH Tsing Hua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)0780342534

In this paper, a practical medical image processing subsystem is introduced. This subsystem is a part of a 3-D Radiosurgery Treatment Planning System (RTPS) for X-Knife, which was designed and developed by us. The RTPS is used for clinical radioneurosurgery. It supplies a radiosurgery treatment designing tool with a visual interactive interface for doctors. A reasonable architecture is designed by integrating different functional modules. In these functional modules, some new algorithms were developed. The new algorithms in this paper include only tracing image contour and editing image contour used for reconstruction of 3-D medical image. The other new algorithms will be published later. The feature of the system is smart, feasible and precision. Now the system has been used in clinical practices.

关键词： medical image processing image reconstruction surgery visual databases stereo image processing planning 3D radiosurgery treatment planning system medical image processing subsystem RTPS X-Knife clinical radioneurosurgery radiosurgery treatment designing tool visual interactive interface doctors tracing image contour editing image contour 3D medical image reconstruction

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The predicting and matching detection algorithm of moving point target in image sequences

The predicting and matching detection algorithm of moving po...

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International conference on Neural Networks and Signal processing

作者： Zhang, B Lu, HZ Natl Univ Def Technol ATR Lab Changsha 410073 Hunan Peoples R China

ISBN: (纸本)0780377028

The real-time detection algorithm of moving point target in image sequences is one of key algorithms in many real-time processing systems. This paper presents a thoroughly analysis of a point-track predicting and matching detection algorithm after a brief introduction of present algorithms of moving point target in image sequences. Based on the performance of simulation test, it is shown that the introduced algorithm can detect moving point target in image sequences effectively.

关键词： image sequences real-time systems object detection target tracking image sequences matching detection algorithm real time processing systems moving point target point track predicting

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