Title :
A novel similarity based quality metric for image fusion
Author :
Li, Shanshan ; Hong, Richang ; Wu, Xiuqing
Author_Institution :
EEIS Dept., Univ. of Sci. & Technol. of China, Hefei
Abstract :
A new objective non-reference quality metric for the performance of pixel level image fusion is proposed in this paper. The novel metric employs a luminance model that is widely used in visual psychophysics and a new contrast model which correlates better with human visual sensitivity to calculate the similarity between fused image and the sources. Experiments show that the metric is effective and compliant with subjective evaluations compared with other metrics.
Keywords :
image fusion; contrast model; human visual sensitivity; luminance model; objective nonreference quality metric; pixel level image fusion; similarity based quality metric; visual psychophysics; Humans; Image fusion; Image processing; Image quality; Mutual information; Performance evaluation; Pixel; Psychology; Remote sensing; Voting;
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
DOI :
10.1109/ICALIP.2008.4589989
