Stochastic Resonance AD Conversion and its Effect on Image Enhancement

Author

Ye, Qinghua ; Huang, Haining ; Chen, Ying ; Tian, Biao

Author_Institution

Chinese Acad. of Sci., Beijing

fYear

2007

fDate

2-5 July 2007

Firstpage

1675

Lastpage

1678

Abstract

Stochastic resonance (SR) is getting more and more attention in recent few years, as a tool when using noise to enhance system performance. This paper applies SR in the image quantization and presents two types of SR Analog-to-Digital Converter (SR-ADC). One is conventional array SR structured, and another is more efficient by definition of transformation function. It is discovered in the image quantization that the resulting image of SR-ADC has a special visual impression. The image-enhancing performance of SR-ADC is also analyzed. And the low signal-to-noise ratio (SNR) image is enhanced effectively in non-Gaussian noises.

Keywords

analogue-digital conversion; data compression; image coding; image enhancement; stochastic processes; analog-digital converter; image enhancement; image quantization; nonGaussian noise; stochastic resonance; transformation function; Analog-digital conversion; Image analysis; Image converters; Image enhancement; Performance analysis; Quantization; Signal to noise ratio; Stochastic resonance; Strontium; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2007 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-1016-9

Electronic_ISBN

1-4244-1017-7

Type

conf

DOI

10.1109/ICME.2007.4284990

Filename

4284990