A novel video image scaling algorithm based on morphological edge interpolation

Traditional image scaling algorithms generally was based on perfect original images which had not any noise. A novel video image scaling algorithm based on morphological edge interpolation was put forward in this paper. This algorithm filtered noise and smooth images by morphological opening-closing operation, and it restrained those faint edges of scaled images obtained by using the traditional methods because that the original video images often had been contaminated by noise. Two interpolation algorithms were used for edge regions and plain regions respectively. Simulation studies show that the proposed algorithm is more efficient for image scaling than conventional image scaling algorithms, and the edges of result images were less blurring.