Near-sensor image processing: a new paradigm

Author

Forchheimer, Robert ; Åström, Anders

Author_Institution

Dept. of Electr. Eng., Linkoping Univ., Sweden

Volume

3

Issue

6

fYear

1994

fDate

11/1/1994 12:00:00 AM

Firstpage

736

Lastpage

746

Abstract

The paper introduces the concept of near-sensor image processing. By this, the authors mean techniques in which the physical properties of the image sensor itself is utilized to do part of the signal processing task. It is shown that the analog-temporal behavior of photodiodes combined with thresholding amplifiers can be used favorably to do certain low-level image processing tasks including median filtering and convolution. The given examples also show how adaptivity to different light levels can be achieved in a natural way. To extract features from the image, such as moments and shape factors, the authors introduce a simple measurement function

Keywords

convolution; feature extraction; filtering theory; image processing; image sensors; median filters; photodiodes; adaptivity; analog-temporal behavior; convolution; feature extraction; image sensor; light level; measurement function; median filtering; moments; near-sensor image processing; photodiodes; shape factors; thresholding amplifiers; Data mining; Extraterrestrial measurements; Feature extraction; Filtering; Image processing; Image segmentation; Image sensors; Photodiodes; Semiconductor device measurement; Shape measurement;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.336244

Filename

336244