Multi-scale detail fusion multi-exposure high dynamic image reconstruction method

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a multi-exposure high dynamic image reconstruction method for multi-scale detail fusion. Background technique [0002] The light-to-dark ratio of ordinary digital devices or displays is usually only 10 2 :1, the current general-purpose RGB model uses 8-bit channels, and its brightness range is limited within 0-255, while the brightness range of the real scene is 10 9 :1. It is precisely because of the mismatch between the real scene and the dynamic range of ordinary digital equipment that the actual image taken by us is overexposed in the bright part, and the information in the exposed part is seriously lost, or the dark part is underexposed, and the details cannot be recognized. An image that can fully reflect the detailed information of the real scene. By adjusting the shutter speed or aperture size of the camera to trade off the brightness information of the real s...

AI Technical Summary

Problems solved by technology

This method can achieve a good fusion effect in most cases, but in real scenes with a large dynamic range, there is still a loss of useful detail information in high-brightness and low-dark areas

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