cg term project fragment-based image completion
DESCRIPTION
CG Term Project Fragment-Based Image Completion. B89902008 徐士璿 B89902048 李懷平. Outline. Motivation Method Expected results Current results Reference. Motivation. Photo editing (Site Engineering) Using less space to store images Applications to digital communication. - PowerPoint PPT PresentationTRANSCRIPT
CG Term ProjectCG Term Project
Fragment-Based Image Completion
B89902008 徐士璿 B89902048 李懷平
Outline
Motivation
Method
Expected results
Current results
Reference
Motivation
Photo editing (Site Engineering)
Using less space to store images
Applications to digital communication
Methods
Fast approximation
search for most similar fragment
Image composition
Fast Approximation
Gaussian blur
Fast Approximation (Cont.)
Gaussian filter
Fast Approximation (Cont.)
Down sampling, up sampling, and pyramid
Fast Approximation (Cont.)
Expected results:
Search for Most Similar Fragment
Image composition
Use α channel
Similar to transparency
Apply the equations to each level of the pyramid, and then reconstruct the image with it.
)1( FBBFFout CCC
)1( FBFout
Expected Results
Construct a plausible image
Apply to texture synthesis
Try to make the search faster- took about 2.5 hours for a 384 x 256
image ( > 0.7 with a 2.4GHz CPU)
Current Results
Approximation
Current Results (Cont.)
Reference
DRORI, I., COHEN-OR, D., AND YESHURUN, H. 2003. Fragment-Based Image Completion. In Proceedings of ACM SIGGRAPH 2003.
GONZALEZ, R. C., AND WOODS, R. E. 2002. Digital Image Processing. Prentice Hall.
BURT, P. J., AND ADELSON, E. H. 1985. Merging images through pattern decomposition. Applications of Digital Image Processing VIII 575, 173–181.