By Topic

3-dimensional error diffusion method based on edge detection for digital display devices

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

The conventional error diffusion (CED) method adopted in digital display devices is simply modified from Floyd-Steinberg error diffusion method, which will degrade image quality by introducing nonlinear distortion (worm artifacts), linear distortion (sharpening), noise and the loss of image details. To overcome the shortcomings of the CED method, this paper proposes 3-dimensional (3D) error diffusion method based on edge detection. The proposed method diffuses quantization errors to the neighbor pixels of current frame and the neighbor pixel of the next frame. And the weights of error filters are dynamically adjusted based on the results of edge detection in each pixel's processing, which makes the weights coincide with the local edge feathers of input image. Simulation and experimental results show that the 3D error diffusion method can reduce worm artifacts and improve reproduction precision of image details.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:53 ,  Issue: 2 )