Abstract—This paper analyses a MOS-based resistive network suitable for massively parallel image processing. The inclusion of MOS transistors biased in the ohmic region instead of true resistors permits certain control over the underlying spatial filter-ing while reducing the required area for VLSI implementation. However, it also leads to nonlinearities and thereby to errors with respect to an ideal resistive grid. By studying an elementary network composed of only two nodes we determine the guidelines to be followed in order to minimize the error according to the selected signal range. These guidelines are then extrapolated to larger networks demonstrating that pretty accurate networks can be achieved even for relatively wide signal range...
To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" the...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A methodological approach to the definition of nonlinear circuits for real-time image processing is ...
This paper addresses the design and VLSI implementation of MOS-based RC networks capable of performi...
Abstract—Cellular Nonlinear Networks (CNN) establish a theoretical framework in which programmable f...
International audienceWe present an algorithm based on MRF modelling for motion detection in image s...
Abstract—This paper presents a massively parallel processing array designed for the 0.13µm 1.5V stan...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
Image filtering is computationally intensive on digital computers. Analog VLSI implementations can p...
This thesis concerns the use of nonlinear resistive networks for solving ill-posed problems in compu...
International audienceThe implementation of a visual motion detection algorithm on an analog network...
The authors have designed and tested a one-dimensional 64 pixel, analog CMOS VLSI chip which localiz...
To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" th...
micron CMOS design rules. It is approximately Image smoothing is an important computational 5mm by 7...
To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" the...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A methodological approach to the definition of nonlinear circuits for real-time image processing is ...
This paper addresses the design and VLSI implementation of MOS-based RC networks capable of performi...
Abstract—Cellular Nonlinear Networks (CNN) establish a theoretical framework in which programmable f...
International audienceWe present an algorithm based on MRF modelling for motion detection in image s...
Abstract—This paper presents a massively parallel processing array designed for the 0.13µm 1.5V stan...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
Image filtering is computationally intensive on digital computers. Analog VLSI implementations can p...
This thesis concerns the use of nonlinear resistive networks for solving ill-posed problems in compu...
International audienceThe implementation of a visual motion detection algorithm on an analog network...
The authors have designed and tested a one-dimensional 64 pixel, analog CMOS VLSI chip which localiz...
To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" th...
micron CMOS design rules. It is approximately Image smoothing is an important computational 5mm by 7...
To us, and to other biological organisms, vision seems effortless. We open our eyes and we "see" the...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A methodological approach to the definition of nonlinear circuits for real-time image processing is ...