Guobin Xu, Yiming Yu, Jie Li, Xiaoju Wang, Xi Chen, Qi Wang. Defective Chinese Painting Digital Image Restoration Using Improved BSCB Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1010002
- Laser & Optoelectronics Progress
- Vol. 59, Issue 10, 1010002 (2022)
Fig. 1. Original image and damaged image. (a) Standard drawing; (b) manual damage drawing
Fig. 2. Repair results of damaged image. (a) Repair result of BSCB; (b) repair result of TV; (c) repair result of CDD; (d) repair result of proposed model
Fig. 3. Original image and defacement image. (a) Standard drawing; (b) manual defacement drawing
Fig. 4. Repair results of color and detail loss image. (a) Repair result of BSCB; (b) repair result of TV; (c) repair result of CDD; (d) repair result of proposed model
Fig. 5. Improved SSIM evaluation of defect repair algorithms. (a) Evaluation results of each model for repairing damaged areas; (b) evaluation results of each model for repairing contaminated areas
Fig. 6. PSNR evaluation of defect repair algorithms. (a) Evaluation results of each model for repairing damaged areas; (b) evaluation results of each model for repairing contaminated areas
Fig. 7. Examples of digital image restoration of traditional Chinese paintings with different types of defects. (a) Defect maps; (b) area mark to be repaired; (c) repaired results
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