Add to ORKGA b s m r T%is paper presents a software prototype capable of petforming image processing applications using Cellular Neural Networks (M). The software is based on a CMlrmulti-layerstrucWc in which each primary color is assigned to a unique luyex This aUows an added jkxibilio as differentprocessing applications can be perfonncd inpar&L To be oble to handle af.U range of coior tones, two novel color mapping schemes were derived In the proposed schemes the color information is obtained from the cell's state rather than from its output. Additionally, a post processor capable ofperfonning pixelwise logical operations among color layers was developed to enhance the results obtainedfrom CW. 1
The use of color in image processing is motivated by two principal factors.nbsp First, color is a po...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
This thesis deals with image colorization and image super-resolution using neural networks. It brief...
The paper presents a software prototype capable of performing image processing applications using ce...
Abstract- When low-level hardware simulations of cellular neural networks (CNN’s) are very costly fo...
This paper presents a cellular neural network software simulator, called SIMUL CN2, for image-proces...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
Cellular Neural Networks (CNN) [1] were introduced by Chua and Yang in 1988. The idea of the CNN was...
Cellular Neural Networks (CNN) [1] were introduced by Chua and Yang in 1988. The idea of the CNN was...
Analysis of methods and tools for image colorization was performed. It was explained why artificial ...
Abstract—In this study, we propose the three-layer cel-lular neural network considering three primar...
Abstract: In this contribution, we propose the use of Cellular Neural Networks as an application for...
In this paper a new neural network model is used for recognition of color images which speeds up ima...
A practical system approach for time-multiplexing cellular neural network (CNN) implementations suit...
This paper investigates the use of both the luminance and chrominance components in color image and ...
The use of color in image processing is motivated by two principal factors.nbsp First, color is a po...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
This thesis deals with image colorization and image super-resolution using neural networks. It brief...
The paper presents a software prototype capable of performing image processing applications using ce...
Abstract- When low-level hardware simulations of cellular neural networks (CNN’s) are very costly fo...
This paper presents a cellular neural network software simulator, called SIMUL CN2, for image-proces...
In this paper we apply cellular neural networks for color image segmentation. Color aerial photograp...
Cellular Neural Networks (CNN) [1] were introduced by Chua and Yang in 1988. The idea of the CNN was...
Cellular Neural Networks (CNN) [1] were introduced by Chua and Yang in 1988. The idea of the CNN was...
Analysis of methods and tools for image colorization was performed. It was explained why artificial ...
Abstract—In this study, we propose the three-layer cel-lular neural network considering three primar...
Abstract: In this contribution, we propose the use of Cellular Neural Networks as an application for...
In this paper a new neural network model is used for recognition of color images which speeds up ima...
A practical system approach for time-multiplexing cellular neural network (CNN) implementations suit...
This paper investigates the use of both the luminance and chrominance components in color image and ...
The use of color in image processing is motivated by two principal factors.nbsp First, color is a po...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
This thesis deals with image colorization and image super-resolution using neural networks. It brief...