1. An image deblurring method adapted for processing a current image frame and a reference image frame from a series of image frames using an image processor to generate an interpolated image frame, each of the current image frame and the reference image frame including a plurality of pixels each having a pixel value, said image deblurring method comprising the steps of: a) configuring the image processor to determine an absolute difference between the pixel value of each of the pixels in the current image frame and the pixel value of a corresponding one of the pixels in the reference image frame to obtain a total absolute difference corresponding to the current image frame by summing up the absolute differences corresponding respectively to the pixels of the current image frame; b) configuring the image processor to determine a relationship between the total absolute difference obtained in step a), and predetermined first, second and third threshold values, the second threshold value being smaller than the first threshold value and greater than the third threshold value; c) when the image processor determines in step b) that the total absolute difference obtained in step a) is smaller than the first threshold value and not smaller than the third threshold value, configuring the image processor to generate the interpolated image frame based on the current image frame and the reference image frame using one of unidirectional motion estimation and bidirectional motion estimation; and d) when the image processor determines in step b) that the total absolute difference obtained in step a) is not smaller than the first threshold value or is smaller than the third threshold value, configuring the image processor to generate the interpolated image frame based on the current image frame and the reference image frame using frame repetition through duplicating the reference image frame.