An evaluation method for fusion image quality based on HVS

The question may be posed as to which fusion algorithm is most suitable for irrelevant images in a Virtual Photographing System (VPS). In the present paper fusion image quality evaluating methods are proposed to be the key. In this paper, a new method is developed by first combining objective and subjective methods. Then, three different methods are used for objective evaluation, i.e., information entropy evaluation, cross grads evaluation for interested objects and an approaching index evaluation for edge transition smoothness. Five image fusion algorithms are presented. Experimental results prove that this hierarchical evaluated method is effective and more suitable for VPS. The conclusions of the quantitative evaluation and human vision are similar.