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Survey of Background Blurring

This project focuses on enhancing image focus and privacy preservation in photography. Aimed at highlighting subjects, it addresses the limitations of expensive DSLR cameras and lenses as well as unwanted elements in the background. By utilizing refocus techniques to transform images into movie-like effects, the system aims to enhance image quality while preserving privacy.

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Survey of Background Blurring

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  1. SurveyofBackground Blurring Shadow 2008.10.07

  2. Outline • Motivation • Introduction • Related work/Paper survey • System design • Todo list

  3. Motivation • Image enhancement • 想要凸顯主題， • 但是DSLR很貴、鏡頭很貴…… • 景的閒雜人物很討厭 • For privacy preserving • 利用refocus來達到image轉成movie的效果

  4. Introduction • Depth of field （景深） • 焦距 • 光圈 • 物距 • Bokeh (散景)

  5. By DSLR

  6. By DC

  7. By Photoshop

  8. Related Work Refocusing : Active Refocusing of Images and Videos [siggraph07]

  9. Related Work Refocusing : Active Refocusing of Images and Videos [siggraph07] Depth hint: active project light Blur kernel: Gaussian blur

  10. Related Work • Image and Depth from a Conventional Camera with a Coded Aperture [siggraph07]

  11. Related Work Coded aperture- reduce uncertainty in scale identification Conventional Coded Larger scale Correct scale Smaller scale

  12. Related Work • Single Image Dehazing [siggraph08] • Radiative transport equation

  13. Related Work • Single Image Dehazing [siggraph08]

  14. Related Work • Single Image Dehazing [siggraph08]

  15. Related Work • 要做refocusing 要找出depth map • Usage of Depth map • Reconstruct 3D scene • 3D shape recovery

  16. Related Work • Depth Recovery • Depth from stereo • Structure from motion • Shape from shading • Range from focus • Depth from defocus

  17. Related Work • How to find depth map • Perspective of two images • Blur effect of an image • Other hint • Do we really need aexactdepth map?

  18. System design

  19. System design • Object segmentation Image matting : • Hard cut • Grab cut • Lazy snapping • Watershed • Mean-shift • Soft cut • Tri-map alpha matting • Color segmentation

  20. System design • Depth map reconstruction • Vanish point or horizontal line

  21. System design • Refocus the Image • different blur kernel

  22. TodoList • 有depth map 產生出有淺景深效果的result • 有object segment, subject 等hint 產生depth map • Object segmentation (with/without user hint)

  23. Application

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