Image-based lighting adjustment method for browsing object images

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.

• Type: Journal
• Year: 2009
• Where: ICMCS
• Authors: Jun Shingu, Shingo Uchihashi, Tsutomu Abe, Tetsuo Iyoda, Don Kimber, Eleanor G. Rieffel, Jim Vaughan
• Keywords: ICMCS 2009, Images, Lighting Adjustment Method, Multimedia, Unwanted Specular Reflections