학술논문
Image enhancement using pattern-selective color image fusion
Document Type
Conference
Author
Source
Proceedings 10th International Conference on Image Analysis and Processing Image analysis and processing Image Analysis and Processing, 1999. Proceedings. International Conference on. :44-49 1999
Subject
Language
Abstract
This paper introduces a method for extending the effective dynamic range and depth of focus of a sensor through pattern-selective color image fusion. Pattern-selective fusion methods provide a mechanism for combining multiple monochromatic source images through identifying salient features in the source images at multiple scales and orientations, and combining those features into a single fused image result. In this paper the pattern-selective fusion method is generalized into a framework that is equally applicable to monochrome, color and multi-spectral imagery. This proposed fusion framework is then used to combine a set of color source images, taken from a sensor with varying aperture and focus settings, into a single fused image result that has improved dynamic range and depth-of-field over any of the other frames in the input sequence. Experimental results show the performance of the dynamic range and depth-of-field extension on imagery taken from consumer-grade video camera equipment.