Optimization-based Image Decolorization Why Grayscale Image? Student Name: XU Zhinan Advisor: Professor Chiew-Lan Tai a) Widely used in pattern recognition & image processing b) Small scale of data & simple to code c) Monochrome printing
Jan 19, 2016
Optimization-based Image Decolorization
Why Grayscale Image?
Student Name: XU Zhinan Advisor: Professor Chiew-Lan Tai
a) Widely used in pattern recognition & image processingb) Small scale of data & simple to code
c) Monochrome printing
Previous Work
[Neumann et al. 2007]
[Gooch et al. 2005] [Grundland et al. 2007]
CIE Y
Local contrast [Kim et al. 2009]
• Disadvantage:• Global contrast is ignored.
• Advantages:• Global mapping• Local contrast preserving
• Conversion: (Lch to grayscale)
• Objective Function:
Global contrast—Lch & RGB
Input Lch RGB Kim et al. CIE Y
• Global contrast: statistics in CIE Lch
Global contrast—Gaussian Pairing
Input Kim et al. Gaussian
• Displacement vector:
Optimization-based Image Decolorization