Based on the Research of Texture Image Restoration Technology
Li Ding, Yun-hui Qu · 2020
Nowadays people have higher and higher requirements for image quality, and computer-aided assistance can restore the original image information more precisely and accurately. This article focuses on the repair of partial information damage in complex images. It uses texture-based image repair algorithms to repair images with large damaged areas. By improving the CIEI (Cross Isophotes Exemplar-based Inpainting) algorithm, it makes it suitable for Texture-rich image restoration has better applicability.