Rotated Texture Image Repair Based on Vector Extensions
Bin Yan · Journal of Jianghan University · 2010
This paper presents an image repair method based on vector extension, which intends to correct the image blank area left by rotation. Using the image quality threshold to determine the similarity of vector image, the image is converted to vectors of cubic curve combination. After rotating vector-graph, the curves are expanded to the blank area by adjusting the vector parameters, and the texture accumulation areas are growed. The texture gradient is used to fill the differences of vector curves and real texture gradient. Using the wood texture images as samples, the experiments show the repaired images are highly similar to real wood texture.