Diffusion networks for on-chip image contrast normalization

Author

Perona, Pietro ; Tartagni, Marco

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

1

Abstract

A new method for normalizing and quantizing images is presented. The method is based on calculating a local reference frame for the image gray levels. The levels of the reference frame are calculated using biased diffusions that are linked to the original image. The method is conceived to be integrated with sensing elements on the image plane of a camera. Its mathematical properties are analyzed and its performance is experimentally demonstrated. A circuital implementation has been designed, constructed and tested; it consists of a 20 nodes 1-D non-linear resistive grid. Experimental results are shown

Keywords

diffusion; digital signal processing chips; quantisation (signal); video coding; 1D nonlinear resistive grid; biased diffusions; camera image plane; circuital implementation; diffusion networks; image gray levels; local reference frame; mathematical properties; on-chip image contrast normalization; performance; quantizing images; Cameras; Circuit testing; Filtering; Histograms; Humans; Image sensors; Layout; Network-on-a-chip; Performance analysis; Video equipment;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413263

Filename

413263