The computational current mediated CMOS imager based on local threshold algorithm for low-cost consumer applications

Author

Hsiao, Pei-Yung ; Lee, Chia-Hao ; Wei, Tzu-Yang ; Yeh, Chun-Wei

Author_Institution

Dept. of Electron. Eng., Chang Gung Univ., Taoyuan, Taiwan

fYear

2005

fDate

14-16 June 2005

Firstpage

395

Lastpage

398

Abstract

This investigation applied the current-mode pixel cell to reduce the design complexity and to embed a local threshold algorithm for edge detection in a mixed signal CMOS image sensor, which is successfully implemented as a low cost and highly integrated computational imager. The outcomes of the built-in adaptive and tunable spatial filters for performing advanced functions of image binarization and edge detection are better than those in previous researches, in which the spatial filters are only based on crude algorithms. In this work, the proposed 66 × 66 CMOS imager has been fabricated in a 0.35 μm 2P4M CMOS technology of TSMC with a chip size of 2.410 × 2.666 mm₂.

Keywords

CMOS image sensors; adaptive filters; consumer electronics; edge detection; spatial filters; 0.35 mum; CMOS image sensor; CMOS imager; built-in adaptive filters; computational imager; current-mode pixel cell; edge detection; image binarization; local threshold algorithm; low-cost consumer applications; tunable spatial filters; Adaptive signal processing; CMOS image sensors; CMOS technology; Circuits; Energy consumption; Image edge detection; Pixel; Signal processing algorithms; Spatial filters; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2005. (ISCE 2005). Proceedings of the Ninth International Symposium on

Print_ISBN

0-7803-8920-4

Type

conf

DOI

10.1109/ISCE.2005.1502410

Filename

1502410