Gpgpu presentation 2

558 views
523 views

Published on

The check point presentation of gpu project.

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
558
On SlideShare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Gpgpu presentation 2

  1. 1. Super-resolution on Video with User Interface 薛健鑫, 蔡昆修, 何星翰 1
  2. 2. Super-resolution on Video Our goal : User can zoom-in the video with high resolution result when watching video. 2
  3. 3. Project Goals (Original) Retrieving image stream From raw image sequence From DirectX Super-resolution processing Algorithm survey GPU speedup investigation Evaluation method Graphic User Interface Video player Zoom in/out 3
  4. 4. Current Status ✔ Retrieving image stream ✔ From raw image sequence ✔ From OpenCV Super-resolution processing ✔ Algorithm survey GPU speedup investigation Evaluation method ✔ Graphic User Interface ✔ Video player ✔ Zoom in/out 4
  5. 5. Result Demo 5
  6. 6. THE END 6
  7. 7. Additional Material 7
  8. 8. About SR algorithm Reference: Practical Super-Resolution from Dynamic Video Sequences Input: A target LR image and a sequence of neighbor LR image Step 1. get initial HR image f0 Step 2. use forward projection to simulate those LR image. Step 3. use the difference between ground truth LR and simulate LR to do backward projection and make guess HR image f1 Step 4. After n iteration we get a HR image fn which can simulate LR images which are very closed to ground truth. Wei-Chao Chen 8 (weichao.chen@gmail.com)
  9. 9. Some Problems about IBP We know the flow of algorithm, but some detail problems exist 1. How to get good f0 ? 2. The optical flow relation between LR neighbors and target HR image. 3. The ‘Quality Pair’ examination algorithm in the paper , which is not clear in the paper. 4. BP algorithm with EWA filtering Those questions are now bothering us and we need further studies to solve them. Wei-Chao Chen 9 (weichao.chen@gmail.com)
  10. 10. The initial estimation of HR We regard the IBP as a further refinement , base on a good initial upscaling result. It is also important to have a very good f0 estimation in the IBP algorithm. Bicubic resizing has very good result in upscaling and easy to implement, so it is our first choice. Wei-Chao Chen 10 (weichao.chen@gmail.com)
  11. 11. Retrieving image stream from video Extract video frames by OpenCV Load frame sequence in OpenGL as textures Display video using texture animation technique Wei-Chao Chen 11 (weichao.chen@gmail.com)

×