1 / 20

Image I npainting by Patch P ropagation U sing P atch S parsity

蔡秉宸. Image I npainting by Patch P ropagation U sing P atch S parsity. IEEE Transactions on Image Processing Sch . of Sci., Xi'an Jiaotong Univ., Xi'an, China. Introduction B ackground Patch sparsity - struture sparity -patch sparse representation Comparision

maire
Download Presentation

Image I npainting by Patch P ropagation U sing P atch S parsity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 蔡秉宸 Image Inpainting by Patch Propagation Using Patch Sparsity IEEE Transactions on Image Processing Sch. of Sci., Xi'an Jiaotong Univ., Xi'an, China

  2. Introduction • Background • Patch sparsity -struturesparity -patch sparse representation • Comparision -scatch and text removal -object removal -missing block completion • Conclusion Outline

  3. Introduction

  4. Background

  5. Introduction • Background • Patch sparsity -struturesparity -patch sparse representation • Comparision -scatch and text removal -object removal -missing block completion • Conclusion Outline

  6. Structure sparsity

  7. Structure sparsity

  8. Structure sparsity

  9. Structure sparsity

  10. smooth Patch sparse representation

  11. Patch sparse representation

  12. Patch sparse representation

  13. Introduction • Background • Patch sparsity -struturesparity -patch sparse representation • Comparision -scatch and text removal -object removal -missing block completion • Conclusion Outline

  14. scatch and text removal

  15. scatch and text removal

  16. scatch and text removal

  17. object removal

  18. object removal

  19. missing block completion

  20. PROBLEM -smooth,sharpe,consistent • NEW CHANLLENGE -human-being labeled Conclusion

More Related