Summary

International Technical Conference on Circuits/Systems, Computers and Communications

2008

Session Number:A2

Session:

Number:A2-4

Automatic Pixel Boosting for Face Enhancement in Dim Light

Hataikan Poncharoensil,  Seri Pansang,  

pp.-

Publication Date:2008/7/7

Online ISSN:2188-5079

DOI:10.34385/proc.39.A2-4

PDF download (294.8KB)

Summary:
Images in dim light cause many problems such as illumination variation which includes shadow effects. The enhancement of dim faces is difficult and challenging. Image enhancement can be useful for face detection and recognition. In this paper we contribute a new method called 'Automatic Pixel Boosting' to access and boost each pixel individually by using curve fitting. Eigencurves are used for improving the enhanced images. Skin probability ratio test is used for APB evaluation. Eigenfaces and Karhunen-Loeve algorithm and FaceSDK software are used for evaluating the performance of APB in comparison to Histogram Equalization by using a small database.