• Acta Photonica Sinica
  • Vol. 48, Issue 8, 810002 (2019)
LIU Xin-long1、2、* and YI Hong-wei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/gzxb20194808.0810002 Cite this Article
    LIU Xin-long, YI Hong-wei. Improved Multi-exposure Image Pyramid Fusion Method[J]. Acta Photonica Sinica, 2019, 48(8): 810002 Copy Citation Text show less

    Abstract

    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.
    LIU Xin-long, YI Hong-wei. Improved Multi-exposure Image Pyramid Fusion Method[J]. Acta Photonica Sinica, 2019, 48(8): 810002
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