An evaluation method for fusion image quality based on HVS

Guifang Shao; Zushu Li; Tongyuan Huang; Xiaochuan Zhang

doi:10.1117/12.664277

20 February 2006 An evaluation method for fusion image quality based on HVS

Guifang Shao, Zushu Li, Tongyuan Huang, Xiaochuan Zhang

Proceedings Volume 6041, ICMIT 2005: Information Systems and Signal Processing; 604103 (2006) https://doi.org/10.1117/12.664277
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

Abstract

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.

Citation Download Citation

Guifang Shao, Zushu Li, Tongyuan Huang, and Xiaochuan Zhang "An evaluation method for fusion image quality based on HVS", Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 604103 (20 February 2006); https://doi.org/10.1117/12.664277

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