Development and Real-Time Implementation of Auto White Balancing Scoring Algorithm

摘要

This paper presents the development and real-time implementation of an auto-white balancing algorithm named scoring. The spectral distributions of the Macbeth reference colors together with the spectral distributions of several color temperature light sources are used to set up a number of reference color points in the CbCr color space. A number of representative color points are obtained from a captured image by using a previously developed multi-scale clustering algorithm. A match is then established between the reference set of colors and the representative set of colors. The matching scheme generates the most likely color temperature under which the image is captured. Furthermore, this paper discusses the real-time implementation of the developed auto white balancing algorithm on the TI TMS320DSC platform, a power-efficient single-chip processor that has been specifically designed for digital still cameras. It is shown as to how the algorithm is modified to allow a processing rate of 30 frames/s.