1 / 14

Chih-Wei Fang and Jenn-Jier James Lien , Member, IEEE

Rapid Image Completion System Using Multiresolution Patch-Based Directional and Nondirectional Approaches. Chih-Wei Fang and Jenn-Jier James Lien , Member, IEEE. I. INTRODUCTION. Removing these objects from the foreground leaves holes in the photograph * Training process

yetty
Download Presentation

Chih-Wei Fang and Jenn-Jier James Lien , Member, IEEE

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. Rapid Image Completion System UsingMultiresolution Patch-Based Directionaland Nondirectional Approaches Chih-Wei Fang and Jenn-Jier James Lien, Member, IEEE

  2. I.INTRODUCTION Removing these objects from the foreground leaves holes in the photograph * Training process * Image completion process

  3. II. TRAINING PROCESS A. Multiresolution Preprocessing • The background regions in each image are denoted as and are defined as • The foreground Fi regions are defined as L : down-sampled times αi : inverse mattes (1 or 0)

  4. II. TRAINING PROCESS B. Patch-Based Eigenspace Creation Based on Total M O-shape Patterns Associated With Levels 1 to L K = 2ω ( Wp + Hp ) – 4ω ×ω

  5. II. TRAINING PROCESS B. Patch-Based Eigenspace Creation Based on Total M O-shape Patterns Associated With Levels 1 to L 2009/12/16 5

  6. II. TRAINING PROCESS B. Patch-Based Eigenspace Creation Based on Total M O-shape Patterns Associated With Levels 1 to L 2009/12/16 6

  7. II. TRAINING PROCESS C. Weight Vector Creation by Projecting Corresponding O-Shape Pattern Onto First N Eigenvectors P : k -dimensional O-shape pattern vector O ( O = ( O1,O2….Ok ) )轉置 2009/12/16 7

  8. III. REPLACED A. Level L: Synthesis Value Initialization • the composite image Ci Ii is the original image Ii is the synthesized image.

  9. III. REPLACED • B. Levels L-1 to 0 : HMDV V for Directional and Nondirectional Image Completion Processes • The Hessian matrix decision value (HMDV) V : ε = 0.0001 λ: Hessian matrix

  10. 1) Level L-1 : Directional Image Completion Process for Synthesis of Texture Structure (>= threshold) 2) Levels L-1 to 1: Nondirectional Image Completion Process for Synthesis of Detailed Features III. REPLACED • B. Levels L-1 to 0 : HMDV for Directional and Nondirectional Image Completion Processes 2009/12/16 10

  11. IV. RESULT

  12. IV. RESULT .

  13. IV. RESULT . 2009/12/16 13

  14. IV. RESULT

More Related