Digital halftoning algorithm using visual-optimized binary patterns

نویسندگان

  • H. J. Lee
  • Y. J. Yoo
  • H. W. Park
چکیده

The digital halftoning is a gray level rendition in the devices that have the limited gray representation capabilities. The major evaluation points of the digital halftoning methods are the image quality and the processing speed. A new halftoning method using non-thresholding process is proposed, which simply constructs a halftoning database to achieve real time halftoning as well as optimal image quality. The proposed algorithm is constructed by two major parts. First one is to generate well-distributed binary patterns for every gray level. A contrast sensitivity function (CSF) is used as a filter to distribute void and cluster regions and as a criterion of iteration. Second one is to index the halftoning database to image pixel value. The halftoning database consists of the well-distributed binary patterns. By the proposed algorithm, halftoned images can be obtained faster than the other algorithms and produces similar image quality to those of the max energy mask [ 11.

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تاریخ انتشار 1996