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Inpainting Algorithms for Image Coding and Scaling

Inpainting Algorithms for Image Coding and Scaling. Patrick Ndjiki-Nya. Outline. Motivation Image Inpainting and Coding Structure Interpolation Post-Processing Methods Results Image Inpainting and Spatial Scaling Proposed Method Results Conclusions and Future Work. Motivation.

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Inpainting Algorithms for Image Coding and Scaling

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  1. Inpainting Algorithms for Image Coding and Scaling Patrick Ndjiki-Nya

  2. Outline • Motivation • Image Inpainting and Coding • Structure Interpolation • Post-Processing Methods • Results • Image Inpainting and Spatial Scaling • Proposed Method • Results • Conclusions and Future Work

  3. Motivation High-frequency textures are difficult to code, e.g. flower bed, crushed stones, water etc. Where is the original texture ?

  4. Coding: Block Diagram MSE Data Encoder Decoder Video In Video Out Synth. Metadata TS TAS Texture Analysis-Synthesis (TAS) Video Coding

  5. Coding: Synthesizer Input Current frame (t0)

  6. Right ref. frame (t0+x) Left ref. frame (t0-x) Current frame (t0) Coding: Rigid Texture Synthesizer (TSI) • Texture synthesizer for rigid (flower bed, sand, …) textures • Parametric approach • Features some similarity with global motion compensation • Typical drawback: Limited by assumptions of motion model

  7. Coding: Non-Rigid Texture Synth. (TSII, 2D) Stuffing procedure • Generic approach: Good for rigid (flower bed, sand, …) as well as non-rigid textures (water, smoke,…) • Non-parametric approach • Typical drawback: Complexity of texture representation

  8. Coding: Non-Rigid Texture Synth. (TSII, 2D+t)

  9. Coding: Intermediate Results

  10. Coding: Intermediate Results (cont.)

  11. Coding: Challenges

  12. Coding: Structure Interpolation

  13. Coding: Structure Interpolation

  14. Coding: Structure Interpolation Results

  15. Coding: Structure Interpolation Results

  16. Coding: Structure Interpolation Results

  17. Simple Cloning Poisson Seamless Cloning Post-Processing Methods: Poisson Cloning

  18. v g Post-Processing Methods: Formalization • S: a closed subset of R2 • Ω: a closed subset of S, with boundary ∂Ω • f*: known scalar function over S\Ω • f: unknown scalar function over Ω • ∂Ω: boundary pixels • g: source function • v: vector field of g

  19. with over Ω with Post-Processing Methods: Formalization Poisson equation with Dirichlet boundary condition

  20. Coding: Structure Interpolation Results

  21. Image Inpainting and Small Holes

  22. Structure-aware Interpolation Bicubic Interpolation Scaling Results

  23. Conclusions and Future Work • Efficient tools for image inpainting presented • Performance optimization of cloning in inpainting framework • Extension of structure-aware methods to video (rigid and non-rigid textures)

  24. Thank You

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