Zhang, D.C.; Sek Chai; Van der Wal, G., “Method of image fusion and enhancement using mask pyramid,” Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on, vol., no., pp.1,8, 5-8 July 2011
Abstract
Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a mask pyramid to better localize the selection process. A mask pyramid operates in different scales of the image to improve the fused image quality beyond a global selection rule. Several examples of this mask pyramid method are provided to demonstrate its performance in a variety of applications. A new embedded system architecture that builds upon the Acadia ® II Vision Processor is proposed.
Keywords: Laplace equations, Hysteresis, Noise, Pixel, Image fusion, Image color analysis, Noise reduction.