Improved Multi-exposure Image Pyramid Fusion Method

被引:2
作者
Liu Xin-long [1 ,2 ]
Yi Hong-wei [1 ]
机构
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
[2] Shaanxi Normal Univ, Sch Phys & Informat Engn, Xian 710062, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
High dynamic range; Image fusion; Image enhancement; Phase congruency; Image pyramid;
D O I
10.3788/gzxb20194808.0810002
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Aiming at the partial overexposure and the loss of shadow detail in the multi-exposure Laplacian pyramid fusion algorithm, to replace the contrast function in the fusion coefficient of the original algorithm by using the phase congruency filter function was proposed. The algorithm can ignore the illumination and contrast when extracting the edge. The effect of the change on the image makes the fusion result more natural and richer in detail. The advantages of the algorithm were verified by multiple sets of sequence images, and compared with the original algorithm. The results show that in terms of subjective evaluation the fusion result of improved algorithm is natural, and it can better preserve the details of the dark part under the strong light background and reduce the halo at the light source. In terms of objective evaluation, the variance and histogram results of the high dynamic range image fused by the algorithm are obviously better than the original algorithm, and more information is retained than the original algorithm.
引用
收藏
页数:11
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