The invention discloses a multi-scale detail fusion multi-
exposure high dynamic image
reconstruction method, and relates to the field of
image processing technology. The method includes the steps of taking into account three measurement factors of
image contrast, saturation, and moderate
exposure, calculating a weight map of an original multi-
exposure image according to the measurement factors, and generating a weight
Gaussian pyramid and a Laplacian coefficient
pyramid by the use of the
pyramid principle; constructing a weight map mapping function, and performing weight mapping on the
Gaussian pyramid; then according to the pyramid principle, performing weighted averaging on the weight map and a Laplacian coefficient of each layer to obtain an integrated
Laplacian pyramid; and finally, obtaining an HDR image by inverse transformation of the integrated pyramid. The qualitative and quantitative analysis of the fused image effect is performed. Compared with other multi-exposure
image fusion methods, the method of the invention effectively preserves the details of a low dark region and a highlight region, has a significant fusion effect and can better reflect the details of a real scene.