Copyright 2007 INIST-CNRS CC BY 4.0 Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18559872
Database:
PASCAL Archive
Further Information
Implementing image-processing systems can require significant effort and resources due to information volume and algorithm complexity. Model Integrated Computing (MIC) based image processing systems show promise in supporting solutions of these complex problems. While MIC has contributed to the advancement of performing complex image processing tasks on parallel-embedded systems, it has not addressed a challenging class of algorithms that adapt the image-processing algorithm based on the information or state of the image processing system. This proposed effort addresses creating an adaptive image-processing environment based on MIC that allows solutions of complex image processing problems to be built and executed rapidly. This effort will involve creating a new modeling representation for image processing adaptation mechanisms. The proposed MIC-based adaptive image-processing environment will generate a solution given the modeling constraints and execute it on a number of hardware architectures.
