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M16028 - Application of M LH for improvement of depth maps produced by D ERS

M16028 - Application of M LH for improvement of depth maps produced by D ERS. Olgierd Stankiewicz Krzysztof Wegner team supervisor: Marek Domański Chair of Multimedia Telecommunications and Microelectronics Poznań University of Technology, Poland. February 1st, 2009, Lausanne. Introduction.

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M16028 - Application of M LH for improvement of depth maps produced by D ERS

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  1. M16028 - Application of MLH for improvement of depth maps produced by DERS Olgierd StankiewiczKrzysztof Wegnerteam supervisor: Marek Domański Chair of Multimedia Telecommunications and MicroelectronicsPoznań University of Technology, Poland February 1st, 2009, Lausanne

  2. Introduction • Results of experiments in M16027 • Already existing tool, presented to MPEG in M15338 • Used for improvement of DERS (Nagoya) instead of PUT m16028

  3. What is MLH? • Mid-Level Hypothesis algorithm • Post-processing tool that introduces sub-pixel precision to already estimated depth maps, • Low computational complexity m16028

  4. Experiments • Similar to EEs, according to guidlines in W9991, • MLH upgraded to be DERS compatible • Configuration files • Depth maps • Limited set of sequences m16028

  5. Alt Moabit m16028

  6. Lovebird 1 m16028

  7. Book arrival m16028

  8. Newspaper m16028

  9. DERS – QPel precision m16028

  10. DERS – Pixel precision m16028

  11. DERS + MLH –> QPel precision m16028

  12. Conclusions - improvement • Compared to DERS Pel precision • 0.5 dB to 2 dB of PSNR gain • Compared to DERS HPel precision • up to 1 dB of PSNR gain • Subjectively more ‘smooth’ m16028

  13. Conclusions • Can be used with little effort • Low computational cost • Further test over variety of sequences are encouraged m16028

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