Image-based Lighting Adjustment Method for Browsing Object Images

Abstract

In this paper, we describe an automatic lighting adjustment
method for browsing object images. From a set of images of an
object, taken under different lighting conditions, we generate two
types of illuminated images: a textural image which eliminates
unwanted specular reflections of the object, and a highlight image
in which specularities of the object are highly preserved. Our user
interface allows viewers to digitally zoom into any region of the
image, and the lighting adjusted images are automatically
generated for the selected region and displayed. Switching
between the textural and the highlight images helps viewers to
understand characteristics of the object surface.