A multiscale error diffusion technique for digital halftoning. Katsavounidis, I. & Jay Kuo, C. Image Processing, IEEE Transactions on, 6(3):483-490, 3, 1997. doi abstract bibtex 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 ldquo;maximum intensity guidance rdquo; 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
@article{557360,
Author = {Katsavounidis, I. and Jay Kuo, C.-C.},
Date-Added = {2012-08-20 14:21:03 +0000},
Date-Modified = {2012-08-30 16:59:31 +0000},
Doi = {10.1109/83.557360},
Issn = {1057-7149},
Journal = {Image Processing, IEEE Transactions on},
Keywords = {brightest image region;difference image representation;digital halftoning;hierarchical intensity distribution;hierarchical intensity quality measure;image quadtree;image quality measurement;input gray-level image;iterative algorithm;maximum intensity guidance;multiscale error diffusion;output halftone image;quantization error;error analysis;image processing;iterative methods;quadtrees;quantisation (signal);},
Month = {3},
Number = {3},
Pages = {483-490},
Title = {A multiscale error diffusion technique for digital halftoning},
Volume = {6},
Year = {1997},
Abstract = {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 ldquo;maximum intensity guidance rdquo; 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},
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