A novel and better performance evaluation algorithm for image fusion based on singular value decomposition

作者：Zhu Yahui^*; Peng Guohua

来源：Journal of Northwestern Polytechnical University, 2013, 31(1): 25-28.

• Better performance
• Evaluation algorithm
• Experimental analysis
• Image fusion methods
• Numerical matrices
• Performance evaluation
• SVD(singular value decomposition)
• Synthesis method

An evaluation issue of image fusion method based on SVD (singular value decomposition) is put forward aiming at the inconsistencies among the evaluation conclusions drawn from analyses with different methods. In this way, the SVD is done for the numerical matrix composed of multiple inconsistency conclusions. Then, an approximate conclusion matrix is given by equilibrating the consistency-reliability indices. The method has the advantages of picking up common information from multi-evaluations, weakening the impact due to extreme evaluation conclusions. Experimental analysis shows that the proposed method performs well on validity, real-time, precision, and objectivity.

• 出版日期2013
• 单位西北工业大学