Digital halftoning algorithm using visual-optimized binary patterns. Lee, H., Yoo, Y., & Park, H. In Image Processing, 1996. Proceedings., International Conference on, volume 1, pages 541 -544 vol.1, 9, 1996. doi abstract bibtex Digital halftoning is a gray level rendition in devices that have limited gray representation capabilities. The major evaluation points of digital halftoning methods are the image quality and the processing speed. A new halftoning method using a 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. The first part 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. The second part 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 produce similar image quality to those of the max energy mask
@inproceedings{559553,
Author = {Lee, H.J. and Yoo, Y.J. and Park, H.W.},
Booktitle = {Image Processing, 1996. Proceedings., International Conference on},
Date-Added = {2012-08-20 14:27:34 +0000},
Date-Modified = {2012-08-20 17:25:43 +0000},
Doi = {10.1109/ICIP.1996.559553},
Keywords = {cluster regions;contrast sensitivity function;digital halftoning algorithm;filter;gray level rendition;halftoning database;image pixel value;image processing speed;image quality;iteration;limited gray representation capabilities;nonthresholding process;optimal image quality;real time halftoning;visual-optimized binary patterns;void regions;well-distributed binary patterns;image representation;iterative methods;optimisation;real-time systems;},
Month = {9},
Pages = {541 -544 vol.1},
Title = {Digital halftoning algorithm using visual-optimized binary patterns},
Volume = {1},
Year = {1996},
Abstract = {Digital halftoning is a gray level rendition in devices that have limited gray representation capabilities. The major evaluation points of digital halftoning methods are the image quality and the processing speed. A new halftoning method using a 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. The first part 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. The second part 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 produce similar image quality to those of the max energy mask},
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