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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