Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA.
IEEE Trans Image Process. 1997;6(3):483-90. doi: 10.1109/83.557360.
A new digital halftoning technique based on multiscale error diffusion is examined. We use an image quadtree to represent the difference image between the input gray-level image and the output halftone image. In iterative algorithm is developed that searches the brightest region of a given image via "maximum intensity guidance" for assigning dots and diffuses the quantization error noncausally at each iteration. To measure the quality of halftone images, we adopt a new criterion based on hierarchical intensity distribution. The proposed method provides very good results both visually and in terms of the hierarchical intensity quality measure.
研究了一种基于多尺度误差扩散的新数字半色调技术。我们使用图像四叉树来表示输入灰度图像和输出半色调图像之间的差值图像。开发了一种迭代算法，通过“最大强度引导”搜索给定图像的最亮区域，以便分配点，并在每次迭代时非因果地扩散量化误差。为了衡量半色调图像的质量，我们采用了一种基于层次强度分布的新准则。该方法在视觉和层次强度质量度量方面都取得了非常好的结果。
