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Description

Tasks

  • Obtain data base (images, saliency maps)
  • For a set of fixed bitrates do: compute JPEG/JPEG2000 codes with different bit allocations based on saliency
  • Lab and/or crowd sourcing studies using pairwise stimuli
  • Quantify the importance of the salient region (repeat analysis of the paper of Alers et al)
  • Optimize the bit allocation (transform the analysis of Li et al from video to images)

 
Perspectives for Bachelor/Master theses:

For the master it is required to expand the research by adapting the bit allocation also to different distortions like blurriness, low contrast, poor color, noise.

Prerequisites

Solid practical knowledge and experience with algorithms. Programming in MATLAB, C, and/or C++.

References

  1. Li, Zhicheng, Qin, Shiyin and Itti, Laurent, "Visual attention guided bit allocation in video compression,"Image and Vision Computing, 29(1), pp.1-14, 2011.
  2. Alers, Hani, Redi, Judith, Liu, Hantao and Heynderickx, Ingrid, "Studying the effect of optimizing image quality in salient regions at the expense of background content," Journal of Electronic Imaging, 22(4), pp.1-10, 2013.

Contact

Sam S.-H. Jung (sunghwan.jung@uni-konstanz)
Visiting Professor
Office Room: Z718