Improving Image Quality in Visual Cryptography by Bin Yan & Yong Xiang & Guang Hua
Author:Bin Yan & Yong Xiang & Guang Hua
Language: eng
Format: epub
ISBN: 9789811382895
Publisher: Springer Singapore
3.7 Summary
This chapter briefly review some important and classical halftoning techniques that are widely used in VC for grayscale images, including simple bi-level quantization, ordered dithering, error diffusion and DBS. All these types of halftoning techniques are used by authors of VC research papers. Among them, error diffusion keeps a good balance between computational efficiency and image quality and is the mostly adopted approach. A linear model for error diffusion is also reviewed and is shown to be useful to understand the sharpening effect in halftone image and tone reproduction property. This later property will be used to prove the contrast condition in AbS-based VC. Several quality measures, including HPSNR, RAPSD, DDF are reviewed for later chapters.
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