An
image processing method and device, a computer readable storage medium and a terminal, the method comprising: acquiring F frames of first images, F being an integer greater than 1; inputting the F frames of first images into a neural
network model trained in advance to obtain fusion parameters output by the neural
network model, the fusion parameters comprising enhancement parameters and weight parameters, wherein the enhancement parameters comprise a mapping vector corresponding to each pixel point of each frame of first image, and the weight parameters comprise a
weight value corresponding to each pixel point of each frame of first image; performing enhancement
processing on the F frames of first images according to at least the enhancement parameters to obtain F frames of second images; and performing fusion
processing on the F frames of second images according to the weight parameters to obtain a target image. Through the scheme provided in the present application, multiple frames of images can be fused efficiently to obtain a high-quality image.