CAS 2010 Proceedings (International Semiconductor Conference), 2010
The possibilities of image processing using the spatio-temporal dynamics of a Cellular Neural Net... more The possibilities of image processing using the spatio-temporal dynamics of a Cellular Neural Network (CNN) type CMOS analog parallel architecture are investigated. It is shown that the network, consisting of an array of identically coupled identical cells, can be programmed to perform various spatial filtering operations and segmentation in a very short time and with low power consumption. Comparison with
In the last decade, CMOS image sensors (CISs) have reached a considerable level of maturity and t... more In the last decade, CMOS image sensors (CISs) have reached a considerable level of maturity and their performance is now comparable with CCD sensors, in terms of image quality. CISs have almost completely replaced CCDs in commercial photo cameras and mobile phones. The main advantage of using CMOS technology is the possibility of integrating additional intelligence at the sensor level. Complex image processing algorithms can be run on-chip at high frame rates. A possible future development for CIS technology is to capture 3D information from a scene. This, however, requires active illumination schemes.
2009 International Symposium on Signals, Circuits and Systems, 2009
Cellular Neural Network (CNN) type analog parallel architectures have been studied both for their... more Cellular Neural Network (CNN) type analog parallel architectures have been studied both for their potential in high-speed image processing applications and for exhibiting rich and exciting nonlinear spatio-temporal dynamics among which waves and patterns. Such architectures have been also used as linear spatial filters for piecewise linear cells working in the linear central part of their characteristics. The spatio-temporal dynamics
On the possibilities of using a class of CNN's for texture classification
2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011
ABSTRACT The paper deals with the possibility of using the spatio-temporal dynamics of a class of... more ABSTRACT The paper deals with the possibility of using the spatio-temporal dynamics of a class of CNN's for texture classification. The principle of the proposed architecture is discussed and the design of a bank of spatial filters for this kind of application is presented. Transistor level simulation and considerations regarding the architecture reconfiguration will be given as well.
Log-domain CMOS implementation of a class of analog parallel architectures
Log-domain CMOS implementation of a class of linear continuous in time and discrete in space homo... more Log-domain CMOS implementation of a class of linear continuous in time and discrete in space homogeneous cellular neural network type analog parallel architectures are discussed. The specific feature of the spatio-temporal dynamics of the array is that it exhibits unstable spatial modes - property which can be used for high speed image processing. The dynamics and spatial frequency response of
Uploads
Papers by Ion Vornicu