Implement adaptive image enhancement using fractional differential algorithms

  • Implement adaptive image enhancement using fractional differential algorithms

Project dates: 01/01/2010 - Ongoing

We presented fractional differential algorithms based on a fractional differential operator for gray and colour image enhancement. The experiments show that fractional derivative not only maintains the low-frequency contour feature in the smooth area but also enhances the high-frequency edge and texture areas in the image.


Chief Investigators

Other Team Members

Viktor  Vegh

Publications

  • Y. Li, F. Liu, I. Turner, Tao Li (2018) Time-fractional diffusion equation for signal smoothing. Applied Mathematics and Computation
  • Q. Yu, V. Vegh, F. Liu*, I. Turner (2015) A variable order fractional differential-based texture enhancement algorithm with application in medical imaging. PLOS ONE