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Color Inverse Halftoning using Vector Adaptive Filter  

Kim, Chan-Su (영남대학교 전자공학과)
Kim, Yong-Hun (영남대학교 전자정보공학부)
Yi, Tai-Hong (영남대학교 전자정보공학부 전자공학과)
Abstract
A look-up table based vector adaptive filter is proposed in color inverse halftoning. Inverse halftoning converts halftone image into a continuous-tone image. The templates and training images are required in the process of look-up table based methods, which can be obtained from distributed patterns in the sample halftone images and their original images. Although the look-up table based methods usually are faster and show better performances in PSNR than other methods do, they show wide range of qualities depending on how they treat nonexisting patterns in the look-up table. In this paper, a vector adaptive filter is proposed to compensate for these nonexisting patterns, which achieves better quality owing to the contributed informations about hue, saturation, and intensity of surrounding pixels. The experimental results showed that the proposed method resulted in higher PSNR than that of conventional Best Linear Estimation method. The bigger the size of the template in the look-up table becomes, the more outstanding quality in the proposed method can be obtained.
Keywords
halftoning; inverse halftoning; look-up table; vector adaptive filter; color image;
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