Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1610011(2023)
Image Inpainting of Damaged Textiles Based on Improved Criminisi Algorithm
Fig. 1. Description of Criminisi algorithm
Fig. 2. Algorithm block diagram of textile cultural relic image restoration
Fig. 3. Boundary tracking results after denoising. (a) Raw wool fabric image; (b) boundary tracking images without denoising; (c) boundary tracking image processed by adaptive filtering; (d) boundary tracking image processed by proposed algorithm
Fig. 4. Schematic diagram of mask making process. (a) Original image; (b) damaged area; (c) mask map; (d) image to be repaired
Fig. 5. The result of K-means color segmentation
Fig. 6. Color dispersion of different pixel blocks. (a) Sample 1,
Fig. 7. Comparison of inpainting results of damaged textile cultural relics images by four algorithms. (a) Image of damaged textile artifacts; (b) mask map; (c) inpainting image by Criminisi algorithm;(d) inpainting image by reference [16] algorithm; (e) inpainting image by reference [22] algorithm; (f) inpainting image by proposed algorithm
Fig. 8. Comparison of repairing effect of artificial fictitious damaged textile image. (a) Image of original textile; (b) artificial virtual damage image; (c) inpainting image by Criminisi algorithm;(d) inpainting image by reference [16] algorithm; (e) inpainting image by reference [22] algorithm; (f) inpainting image by proposed algorithm
|
|
Get Citation
Copy Citation Text
Qi Li, Long Li, Wei Wang, Pengbo Nan. Image Inpainting of Damaged Textiles Based on Improved Criminisi Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610011
Category: Image Processing
Received: Aug. 24, 2022
Accepted: Oct. 19, 2022
Published Online: Aug. 15, 2023
The Author Email: Wang Wei (20000402@xpu.edu.cn)