The invention discloses an edge adaptive de-interlacing interpolation method which proposes improvements aiming at solving the problems of the prior ELA interpolation method. The interpolation method which adopts an edge adaptive technique and interpolates loss information between two lines by making use of the correlativity of the two lines is characterized in that: the direction with greatest correlativity is selected as an interpolation direction through respective detections on a plurality of directions, and a plurality of groups of data in each direction are further selected for associate judgment, thereby improving the accuracy of the judgment. The method which is a de-interlacing interpolation algorithm with low cost, easy hardware realization, good edge protection and edge saw tooth removal ability can adjust interpolation directions adaptively and bring about good interpolation results in any direction. The method is effective not only two-dimensional interpolation but also for three-dimensional interpolation.