Automatic white balance method for cellular phone

Seul Ki Jang; Kyoung Tae Kim; Choon-Woo Kim

doi:10.1117/12.839178

18 January 2010 Automatic white balance method for cellular phone

Seul Ki Jang, Kyoung Tae Kim, Choon-Woo Kim

Proceedings Volume 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications; 75280F (2010) https://doi.org/10.1117/12.839178
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

In these days, most of cellular phones have built-in digital camera. As number of pixels approaches to that of digital still cameras, consumer's expectation of image quality taken by cellular phone camera is increasing. Automatic white balance is a function to provide illuminant independent image quality. In this paper, a new automatic white balance method suitable for cellular phone is proposed. Camera images are divided into three categories. They are first classified as images with dominant color or images with variety of colors. Images having variety of colors are further divided into two subclasses based on the existence of highlight area; images with and without highlight regions. Three different AWB techniques are designed and applied to each of three classes. Experimental results indicate that the proposed technique yields better performance than the conventional methods.

Citation Download Citation

Seul Ki Jang, Kyoung Tae Kim, and Choon-Woo Kim "Automatic white balance method for cellular phone", Proc. SPIE 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications, 75280F (18 January 2010); https://doi.org/10.1117/12.839178

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available