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Fast Image Completion with Fragment-Based Methods

Explore a method for image completion with fast approximation techniques focusing on search for similar fragments and image composition. Expected results include constructing plausible images and texture synthesis applications. Current results show promising approximations. References from top image processing resources.

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Fast Image Completion with Fragment-Based Methods

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  1. CG Term ProjectFragment-Based Image Completion B89902008 徐士璿 B89902048 李懷平

  2. Outline • Motivation • Method • Expected results • Current results • Reference

  3. Motivation • Photo editing (Site Engineering) • Using less space to store images • Applications to digital communication

  4. Methods • Fast approximation • search for most similar fragment • Image composition

  5. Fast Approximation • Gaussian blur

  6. Fast Approximation (Cont.) • Gaussian filter

  7. Fast Approximation (Cont.) • Down sampling, up sampling, and pyramid

  8. Fast Approximation (Cont.) • Expected results:

  9. Search for Most Similar Fragment

  10. Image composition • Use α channel • Similar to transparency • Apply the equations to each level of the pyramid, and then reconstruct the image with it.

  11. 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)

  12. Current Results • Approximation

  13. Current Results (Cont.)

  14. Reference • DRORI, I., COHEN-OR, D., AND YESHURUN, H. 2003. Fragment-Based Image Completion. In Proceedings ofACM 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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