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检索条件"机构=Image processing and Neurocomputing"

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An advanced emulated digital retina model on FPGA to implement a real-time test environment

An advanced emulated digital retina model on FPGA to impleme...

引用

Proceedings of 2006 IEEE International Symposium on Circuits and Systems,Volume 4

作者： Z. Nagy Zs. Voroshazi P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

This paper presents an extended emulated digital retina model to compute two different retina channels in video real-time. The proposed emulated digital implementation of the two-channel retina model was compared to the previously developed single channel model from three different points of view: processing speed, number of physical cells and accuracy. A real-time test environment with camera input and display output is going to be set up to analyze the retina model implementation on emulated digital CNN (Cellular Neural/Nonlinear Network) model by using a 6M gate equivalent FPGA (Field Programmable Gate Array).

关键词： Retina Field programmable gate arrays Cellular neural networks Neurons Hardware Automatic testing Differential equations Cameras Nonhomogeneous media Computer architecture

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An emulated digital retina model implementation on FPGA

An emulated digital retina model implementation on FPGA

引用

9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Nagy, Z. Vörösházi, Zs Szolgay, P. Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary

The purpose of the low-level image processing that takes place in the retina is to compress the relevant visual information to a manageable size. The behavior of the external layers of the biological retina has been successfully modelled by a Cellular Neural Network. In the present paper a specialized emulated digital CNN-UM architecture will be introduced which can be very efficiently used in the retina model calculations. The high performance of the proposed architecture makes it possible to emulate one channel of the model in real-time.

关键词： Cellular neural networks

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Elastic wave propagation modeling on emulated digital CNN-UM architecture

Elastic wave propagation modeling on emulated digital CNN-UM...

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9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Kozma, Péter Sonkoly, Péter Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary Department of Image Processing and Neurocomputing University of Veszprém Analogic and Neural Computing Laboratory Computer and Automation Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a heterogeneous medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphic configurations. The propagation of seismic waves has to be modeled to create synthetic seismograms. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution.

关键词： Cellular neural networks

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Inverse elastic wave propagation modeling on CNN-UM architecture

Inverse elastic wave propagation modeling on CNN-UM architec...

引用

European Conference on Circuit Theory and Design, ECCTD

作者： P. Sonkoly S. Kocsardi P. Kozma P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Hungary

Exploration seismology deals with the use of artificially generated elastic waves to locate mineral deposits (including hydrocarbons, ores, water, geothermal reservoirs, etc.) archeological sites and to obtain geological information for engineering. The elastic waves generated by an explosion propagate through the examined geological area and recorded on the surface. The structure of the area can be determined by using the recorded data called seismogram. The propagation of elastic waves in an elastic medium can be described by second order partial differential equations. The solution of these kinds of equations requires enormous computation power. In this paper a solution of inverse seismic wave propagation is presented on Falcon emulated digital CNN-UM architecture.

关键词： Geothermal power generation Geology Seismology Minerals Ores Water resources Hydrocarbon reservoirs Explosions Surface waves Partial differential equations

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An emulated digital retina model implementation on FPGA

An emulated digital retina model implementation on FPGA

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Z. Nagy Z. Voroshazi P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary

The purpose of the low-level image processing that takes place in the retina is to compress the relevant visual information to a manageable size. The behavior of the external layers of the biological retina has been successfully modelled by a cellular neural network. In the present paper a specialized emulated digital CNN-UM architecture will be introduced which can be very efficiently used in the retina model calculations. The high performance of the proposed architecture makes it possible to emulate one channel of the model in real-time.

关键词： Retina Field programmable gate arrays Neurons Cellular neural networks Differential equations Delay image processing Biological system modeling Very large scale integration Partial differential equations

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Elastic wave propagation modeling on emulated digital CNN-UM architecture

Elastic wave propagation modeling on emulated digital CNN-UM...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： P. Kozma P. Sonkoly P. Szolgay Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Department of Image Processing and Neurocomputing University of Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

关键词： Partial differential equations Computer architecture Cellular neural networks Geophysics computing Seismic waves Stress Analog computers image processing Very large scale integration Numerical models

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New algorithms for example-based super-resolution

引用

11th International Conference on Computer Analysis of images and Patterns, CAIP 2005

作者： Czúni, László Császár, Gergely Cho, Dae-Sung Kim, Hyun Mun University of Veszprém Dep. of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Samsung Advanced Institute of Technology Multimedia Lab. P.O. Box 111 Suwon 440-600 Korea Republic of

ISBN: (纸本)3540289690

This paper describes enhancements on example-based superresolution. Example-based super resolution has the advantage that only one observation of the low-resolution image is required but reconstruction requires long processing time. We propose techniques to achieve faster operation and/or better quality by several modifications of previous techniques. We show some typical data as quantitative results also including video in electronic version. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Imaging techniques

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Seismic wave propagation modelling on emulated digital CNN-UM architecture

Seismic wave propagation modelling on emulated digital CNN-U...

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作者： Kozma, Péter Nagy, Zoltán Szolgay, Péter Department of Image Processing and Neurocomputing University of Veszprém Egyetem u. 10 H-8200 Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute HAS Kende u. 13-17 H-1111 Budapest Hungary

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a horizontally stratified medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphie configurations. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to improve the performance of our solution.

关键词： Electromagnetic wave propagation

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Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films

Trainable post-processing method to reduce false alarms in t...

引用

IEEE International Conference on image processing

作者： A. Licsar L. Czuni T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity discontinuities, hence false detection results originate from object motion (e.g. occlusion), non-rigid objects or erroneous motion estimation. In practice, usually, after the automatic detection step the false alarms are removed manually by an operator, significantly decreasing the efficiency of the restoration process. Our post-processing method classifies each detected blotch by its image features to minimize false results and the necessity of human intervention. The proposed method is tested on real archive sequences.

关键词： Object detection image restoration Motion detection Motion estimation Humans Neural networks Optical films Degradation Costs image motion analysis

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image inpainting methods by using CELLULAR neural networks

Image inpainting methods by using CELLULAR neural networks

引用

9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Gacsádi, Alexandra Szolgay, Péter Electronics Department University of Oradea Str. Armatei Române Nr.5 410087 Oradea Romania Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 H-1502 Budapest Hungary Image Processing and Neurocomputing Department Veszprém University Egyetem u. 10 Veszprém Hungary

Some CNN methods are presented that can be used for the reconstruction of damaged or partially known images. The proposed methods take the possibility of direct implementation on an existing CNN chip into account, in a single step, by using 3*3 dimensional linear reaction templates. Due to complete parallel processing, computational time reduction is achieved. Efficiency of these methods can be increased by combining them with nonlinear template that ensures the growth of the local properties spreading area along with regional ones.

关键词： Cellular neural networks

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