Application Technology of Image Inpainting Algorithm for Occlusion on Texture Image

2021 ◽  
Vol 29 (4) ◽  
pp. 147-156
Author(s):  
Jeong Min Lee ◽  
Kyoung Ho Bae
Keyword(s):  
Image Inpainting ◽  
Texture Image ◽  
Application Technology

Application of GRNN neural network in non-texture image inpainting and restoration

2015 ◽  
Vol 62 ◽  
pp. 24-31 ◽  
Author(s):  
Vahid K. Alilou ◽  
Farzin Yaghmaee
Keyword(s):  
Neural Network ◽  
Image Inpainting ◽  
Texture Image

TV-Based Texture Image Inpainting

2008 ◽  
Author(s):  
Minqin Wang ◽  
Guoqiang Han ◽  
Yongqiu Tu ◽  
Guohua Chen ◽  
Yuefang Gao
Keyword(s):  
Image Inpainting ◽  
Texture Image

Fast algorithm for color texture image inpainting using the non-local CTV model

2015 ◽  
Vol 62 (4) ◽  
pp. 853-876 ◽  
Author(s):  
Jinming Duan ◽  
Zhenkuan Pan ◽  
Baochang Zhang ◽  
Wanquan Liu ◽  
Xue-Cheng Tai
Keyword(s):  
Fast Algorithm ◽  
Image Inpainting ◽  
Texture Image ◽  
Non Local ◽  
Color Texture

Research on texture image inpainting of jacquard fabric based on non-single vision

2019 ◽  
Vol 90 (13-14) ◽  
pp. 1462-1476
Author(s):  
Wenzhen Wang ◽  
Na Deng ◽  
Binjie Xin ◽  
Chi-wai Kan ◽  
Yiliang Wang ◽  
...  
Keyword(s):  
Image Inpainting ◽  
Block Matching ◽  
Imaging Method ◽  
Texture Image ◽  
Target Image ◽  
Visual Appearance ◽  
Single Vision ◽  
Image Acquisition System ◽  
Traditional Approaches ◽  
Confidence Value

For the texture image inpainting of jacquard fabric with a large damaged region but complete data information around it, traditional exemplar-based image inpainting algorithms are not only have rapid falling traditional confidence value, but also the matching precision is greatly limited due to the lack of robustness, which results in a wrong guided direction and an unsatisfactory inpainting effect. To solve the above-mentioned problems, a novel digital image acquisition system for damaged fabric was designed and one set of texture image inpainting algorithms of jacquard fabric based on non-single vision was developed. In this image inpainting method, the images to be inpainted and target images were obtained through the non-single-vision imaging method. By using the image registration and Poisson image blending technology, the damaged region was filled by block matching first and then patches from the target image to the data missing region were copied. The experimental results clearly showed that the proposed method achieves better results in visual appearance and inpainting quality, compared with traditional approaches for inpainting. In addition, this method shows broad potential application prospects in the virtual restoration of ancient fabrics using image inpainting technology.

scholarly journals Simultaneous structure and texture image inpainting

2003 ◽  
Vol 12 (8) ◽  
pp. 882-889 ◽  
Author(s):  
M. Bertalmio ◽  
L. Vese ◽  
G. Sapiro ◽  
S. Osher
Keyword(s):  
Image Inpainting ◽  
Texture Image
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