CG Term Project Fragment-Based Image Completion B 89902008 徐士璿 B 89902048 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.
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. 4 GHz 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.
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