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Digital Halftoning Algorithm Based on Quantum Signal Processing

  

  1. 1. Dept. of Information Engineering, Shanghai Putuo Spare Time University, Shanghai 200062, China;

     2. Dept. of Information Engineering, Putuo Branch of Shanghai Open University, Shanghai 200062, China
  • Received:2015-05-11 Online:2015-09-21 Published:2015-09-24

Abstract:

 A new halftoning method based on quantum signal processing is proposed for the digital halftoning technical. Firstly the normalized gray images are expressed as
the form of quantum bit, then we make the quantum measurement with random observation. The original image is collapsed into a binary image after measuring. The error between the
binary image and the original image is calculated, and the product of the error and the adaptive feedback coefficient is used for image enhancement processing. Finally the
halftone image is generated by the enhanced image using the traditional error diffusion algorithm. The simulation results show that the method can reduce structural texture and
increase the contrast of halftone image. It outperforms the conventional digital halftone methods in subjective vision perception and objective evaluation index.

Key words: digital halftoning, error diffusion, quantum signal processing, error feedback, structural similarity