1. Image structure rebuilding technique using fractal dimension on the best match patch searching
Source: Multimed Tools Appl (2017) 76:1875–1899
Authors: Jung-San Lee, Kuo-Jui Wei, and Kai-Rui Wen
Speaker: Qun-Feng Zeng
Date: 2/23/2017 1 1

2. Notation notation meaning I input image Ω target region Φ
source region : I-Ω δΩ
edge of Ω(7*7 pixels) Ψp
target patch(7*7 pixels)
Ψpj
j th patch in the source region

3. Proposed Scheme(1/5) input image image replacement
calculate impainting priority
mapping by fractal dimension and patch rotating
find the highest priority Ψp

4. Proposed Scheme(2/5)

5. Proposed Scheme(3/5)impainting priority
traditional priority based method
structure sparsity
difference between Ψp and Ψpj+
higher P(p) higher priority

6. Proposed Scheme(4/5) -FractalDimension
(b)14/64=0.22

7. Proposed Scheme(4/5) -FractalDimension
s=2 s'=1
Nb(s')=14
Nb(s)=6
Nb(s')=14
f=1.223
Nb(s)=8
f=0.807

8. Proposed Scheme(5/5)rotating

9. Experiment Results(1/6)9 9

10. Experiment Results(2/6)10 10

11. Experiment Results(3/6)11 11

12. Experiment Results(4/6)12 12

13. Experiment Results(5/6)13 13

14. Experiment Results(6/6)14 14

15. Reference
(d)Agrawal A, Goyal P, and Diwakar S (2010)BFast and enhanced algorithm for exemplar based image inpainting,2010 Fourth Pacific-Rim Symposium on Image and Video Technology, pp
(e)Florinabel DJ, Juliet SE, Sadasivam V (2011) Combined frequency and spatial domain-based patchpropagation for image completion. Comput Graph 35:1051–1062
(f)Wu X, Liu N and Song Y (2013)BImage inpainting algorithm based on adaptive template direction,2013 6th International Congress on Image and Signal Processing, vol. 01, pp 15 15

16. Conclusions
This paper finds an effective match patch by fractal dimension.
Experimental results demonstrated the proposed method can repair the stains with satisfactory quality. 16 16