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Adaptive methods for dithering color images
By: Akarun, L.; Cetin, A.E.; Yardunci, Y.;
1997 / IEEE
This item was taken from the IEEE Periodical ' Adaptive methods for dithering color images ' 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.
Image Colour Analysis
Least Mean Squares Methods
Color Image Dithering
Color Image Printing Devices
Color Image Display Devices
True Color Image Reproduction
Adaptive Error Diffusion Method
Error Diffusion Filter Coefficients
Normalized Least Mean Square-type Algorithm
Lms Type Algorithm
General Vector Approach
Adaptive Signal Processing
Signal Processing And Analysis