Adaptive methods for dithering color images. Akarun, L., Yardunci, Y., & Cetin, A. Image Processing, IEEE Transactions on, 6(7):950-955, 7, 1997. abstract bibtex Most color image printing and display devices do not have the capability of reproducing true color images. A common remedy is the use of dithering techniques that take advantage of the lower sensitivity of the eye to spatial resolution and exchange higher color resolution with lower spatial resolution. An adaptive error diffusion method for color images is presented. The error diffusion filter coefficients are updated by a normalized least mean square-type (LMS-type) algorithm to prevent textural contours, color impulses, and color shifts, which are among the most common side effects of the standard dithering algorithms. Another novelty of the new method is its vector character: previous applications of error diffusion have treated the individual color components of an image separately. We develop a general vector approach and demonstrate through simulation studies that superior results are achieved
@article{597270,
Author = {Akarun, L. and Yardunci, Y. and Cetin, A.E.},
Date-Added = {2012-12-02 22:18:04 +0000},
Date-Modified = {2012-12-02 22:18:31 +0000},
Journal = {Image Processing, IEEE Transactions on},
Keywords = {LMS type algorithm;adaptive error diffusion method;adaptive methods;color components;color image display devices;color image dithering;color image printing devices;color resolution;dithering algorithms;dithering techniques;error diffusion filter coefficients;general vector approach;normalized least mean square-type algorithm;simulation studies;spatial resolution;true color image reproduction;adaptive filters;adaptive signal processing;filtering theory;image colour analysis;image resolution;least mean squares methods;},
Month = {7},
Number = {7},
Pages = {950-955},
Title = {Adaptive methods for dithering color images},
Volume = {6},
Year = {1997},
Abstract = {Most color image printing and display devices do not have the capability of reproducing true color images. A common remedy is the use of dithering techniques that take advantage of the lower sensitivity of the eye to spatial resolution and exchange higher color resolution with lower spatial resolution. An adaptive error diffusion method for color images is presented. The error diffusion filter coefficients are updated by a normalized least mean square-type (LMS-type) algorithm to prevent textural contours, color impulses, and color shifts, which are among the most common side effects of the standard dithering algorithms. Another novelty of the new method is its vector character: previous applications of error diffusion have treated the individual color components of an image separately. We develop a general vector approach and demonstrate through simulation studies that superior results are achieved},
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