인간 시각 특성을 고려한 오차 확산 커널의 동적 결정 방법 = A Dynamic Estimation for Error Diffusion Kernel Based on Human Visual System

다국어 초록 (Multilingual Abstract)

Conversion of the gray level image into the binary equivalent is called as digital halftoning. Error diffusion has been one of the most popular digital halftoning techniques. The quality of binary image obtained by the error diffusion technique is majorly determined by the error diffusion kernel, locations of neighbors for the error propagation, and quantization process. This paper presents an error diffusion method to dynamically calculate the kernel for error propagation based on the input gray level image. The error diffusion kernel is determined by minimizing the predefined error criterion between the input gray level and ouput binary image. The characteristics of human visual system is incorporated into the error criterion for minimization. The results obtained based on the proposed techniques are analyzed and compared with those by the existing error diffusion techniques.