통계적 특성을 이용한 컬러영상 하프토닝 기법 = Color Image Halftoning Technique using Statistical Characteristics

다국어 초록 (Multilingual Abstract)

digital image halftoning is the process of converting grey-scale image into a form suitable for display on binary devices such as laser printers or inkjet printers. After proper halfoning process, the lowpass filtering nature of hu-man visual system results in an illusion of a continuous tone image in a dis-tance. in this paper, we analyze the characteristics of error diffusion system and propose new error diffusion method which conserve grey-level of input image. in the proposed algorithms, we exploits the statistics of error dif-fusion system., as the order of the feedback loop filter increases, the modi-fied input distribution goes to gaussian. based on this phenomena, we deter- mined the optimal quantizer threshold conserving the grey-level of an input image. in addition, to reflect local characteristics, we modulated this threshold by either the local weighted average or the quantized error itself. we combined the proposed algorithm with a color inkjetprinter model which compensates for the distortion caused by the dot-overlap phenomena. in the computer simulation and several subjective testing, we find that the proposed algorithm yields more natural images that are closer to original one than that of the classic error diffusion method.