Study of Image Mosaic Based on the Method of Finite Difference

With respect to the problem that it is very difficult for the existing image mosaic algorithms to be adaptive for the big gray difference between the to-be-mosaic images, a novel image mosaic algorithm based on the method of finite difference is proposed, in order to make the boundary area near the seam smooth and to keep the coincidence of globe intensity in a resultant mosaic image. Firstly, an oriented vector field is set up for the to-be-mosaic object according to the method of finite difference. Secondly, an image mosaic problem is transformed into solving the Poission equation given the condition of Dirichlet boundary. Thirdly, under the guidance of the oriented vector field, the resultant mosaic object gradually approximates to the to-be-mosaic object by difference interpolating and iterating, to obtain a final mosaic image with the effect of high definition, harmony in globe, and local smooth transition. At last, the experimental results demonstrate the effectiveness and adaptability of the presented algorithm in this paper.