Multi-scale polarization data fusion method based on 4K polarization imaging detector

Abstract

The present invention provides a multi-scale polarization data fusion method based on a 4K polarization imaging detector, which relates to the field of image processing technology. The method comprises the following steps: performing adaptive edge detection on four original polarization images to generate a comprehensive edge map and a clarity score; performing color calibration on each original polarization image based on ambient light intensity and color temperature, and outputting a color-calibrated polarization image and a color deviation score; constructing a multi-objective optimization function by combining the clarity score, the color deviation score, and the global brightness information entropy of the four color-calibrated polarization images, and solving the function in a multi-exposure parameter space to obtain an optimal exposure parameter combination; applying the optimal exposure parameter combination to the next cycle of image capture, and calculating a global quality reward value for the four newly acquired polarization images; and performing wavelet decomposition and frequency division multi-scale fusion on each color-corrected polarization image when the global quality reward value meets a preset condition to generate a fused image. The present invention effectively improves the quality of polarization images.

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