Abstract —The architecture of an active resistive mesh con-taining both positive and negative resistors to implement a Gaussian convolution in two dimensions is described. With an embedded array of photoreceptors, this may be used for image detection and smoothing. The convolution width is continuously variable by 2:1 under riser control. Analog circuits implement a 45X 40 mesh on a 2-pm CMOS IC, and perform an entire convolution in 20 ps on applied images. I
Abstract — In this paper, we propose a structure of a two-dimensional adaptive digital filter for ca...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A VLSI architecture is proposed for the realization of real-time two-dimensional (2-D) image filteri...
Image processing in early vision involves complex computational tasks, such as convolution operation...
Abstract—This paper presents a massively parallel processing array designed for the 0.13µm 1.5V stan...
Abstract—This paper analyses a MOS-based resistive network suitable for massively parallel image pro...
We describe a 25x25 pixel image sensor,which spatially filters a set of input currents supplied by a...
This paper addresses the design and VLSI implementation of MOS-based RC networks capable of performi...
Active resistor meshes, characterized by a not homogeneous anisotropic pattern of local interconnect...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
This paper addresses a comparison of architectures for the hardware implementation of Gaussian image...
A variety of computational tasks in early vision can be formulated through lattice networks. The coo...
Abstract. The CMOS Imager presented integrates a 2D photoreceptor array with a nine input analog pro...
A new design and novel architecture suitable for FPGA/ASIC implementation of a 2D Gaussian surround ...
Abstract — In this paper, we propose a structure of a two-dimensional adaptive digital filter for ca...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A VLSI architecture is proposed for the realization of real-time two-dimensional (2-D) image filteri...
Image processing in early vision involves complex computational tasks, such as convolution operation...
Abstract—This paper presents a massively parallel processing array designed for the 0.13µm 1.5V stan...
Abstract—This paper analyses a MOS-based resistive network suitable for massively parallel image pro...
We describe a 25x25 pixel image sensor,which spatially filters a set of input currents supplied by a...
This paper addresses the design and VLSI implementation of MOS-based RC networks capable of performi...
Active resistor meshes, characterized by a not homogeneous anisotropic pattern of local interconnect...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
This paper addresses a comparison of architectures for the hardware implementation of Gaussian image...
A variety of computational tasks in early vision can be formulated through lattice networks. The coo...
Abstract. The CMOS Imager presented integrates a 2D photoreceptor array with a nine input analog pro...
A new design and novel architecture suitable for FPGA/ASIC implementation of a 2D Gaussian surround ...
Abstract — In this paper, we propose a structure of a two-dimensional adaptive digital filter for ca...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
A VLSI architecture is proposed for the realization of real-time two-dimensional (2-D) image filteri...