Two architectures for a programmable image processor with on-chip light sensing capability are described. The first is a VLSI implementation of a cellular neural network. The second is a distributed dual-structure mutation of the first architecture. The distributed dual architecture leverages the speed of silicon against the large silicon area requirements. Moreover, the innovative integrated nature of the dual-structure design significantly reduces the bottleneck and computational overload caused by data transfer from sensory focal plane to the image processor. The paper also describesVLSI chip prototypes and test results
The successful development of cellular neural networks is dependent on hardware implementation. This...
The successful development of cellular neural networks is dependent on hardware implementation. This...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...
Abstract—This paper describes an architecture and implemen-tation of a digital vision chip that feat...
Vision processing is a topic traditionally associated with neurobiology; known to encode, process an...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
In this paper, hardware realization of Cellular Neural Networks in amorphous silicon thin film techn...
This paper describes an optical sensor interface designed for a programmable mixed-signal vision chi...
Abstract—This paper presents the design of a vertically-integrated image sensor/processor device, im...
This paper presents a new processing cell circuit, suitable for use in massively parallel fine-grain...
International audienceSmart vision systems on a chip are promising for embedded applications. Curren...
An operational vision-chip prototype with a wide-range of potential applications in artificial-visio...
Abstract. This paper describes a full-custom mixed-signal chip that embeds digitally programmable an...
Vision chips are microelectronic devices which combine image sensing and processing on a single sili...
CMOS Image Sensors (CIS) are key for imaging technologies. These chips are conceived for capturing o...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The successful development of cellular neural networks is dependent on hardware implementation. This...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...
Abstract—This paper describes an architecture and implemen-tation of a digital vision chip that feat...
Vision processing is a topic traditionally associated with neurobiology; known to encode, process an...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
In this paper, hardware realization of Cellular Neural Networks in amorphous silicon thin film techn...
This paper describes an optical sensor interface designed for a programmable mixed-signal vision chi...
Abstract—This paper presents the design of a vertically-integrated image sensor/processor device, im...
This paper presents a new processing cell circuit, suitable for use in massively parallel fine-grain...
International audienceSmart vision systems on a chip are promising for embedded applications. Curren...
An operational vision-chip prototype with a wide-range of potential applications in artificial-visio...
Abstract. This paper describes a full-custom mixed-signal chip that embeds digitally programmable an...
Vision chips are microelectronic devices which combine image sensing and processing on a single sili...
CMOS Image Sensors (CIS) are key for imaging technologies. These chips are conceived for capturing o...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The successful development of cellular neural networks is dependent on hardware implementation. This...
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) ...