Aiming at the problems of color distortion and loss of detail caused by improper selection of image quality attributes in the current multiexposure image fusion process, a multiexposure image fusion scheme based on quality measurement coupled with color correction was designed. Firstly, three most prominent image quality attributes (contrast, saturation and brightness) were selected as measurement methods. Secondly, these three quality attributes were weighted by linear combination, and the power function was used to control the influence of each attribute. Low weight values are assigned to underexposed and overexposed pixels to eliminate pixels with poor visual effects, thus, effectively preserving exposure pixels, bright colors and details. Then, Laplacian pyramid decomposition is used to decompose the weighted combination features of different exposure images. After normalized weight mapping, multiresolution fusion of different coefficients was performed to achieve multiexposure image fusion. In addition, in order to avoid color distortion and detail loss, the postprocessing steps of color correction based on local saturation are adopted to improve image quality. Experimental results show that the proposed algorithm has higher fusion visual quality than current multiexposure image fusion scheme, and can better maintain image details and correct the color of the exposure fusion image.