Adaptive halftoning based on iterative convolutions

Thomas Zeggel; Olof Bryngdahl

doi:10.1117/12.238743

22 April 1996 Adaptive halftoning based on iterative convolutions

Thomas Zeggel, Olof Bryngdahl

Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238743
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

An iterative halftoning method with a space-variant, input-dependent control of the binarization noise is presented. The algorithm is based on experiences with the iterative Fourier transform algorithm. It uses a convolution with an appropriately chosen finite impulse response (FIR) filter and a spatial operation instead of the Fourier transform and spectral operation. An adaptation of the spectral properties to the local grayvalue of the input image is demonstrated. Besides the local grayvalue the local image gradient is considered. Incorporation of the information about the direction of the local gradient is possible by using a non-symmetric impulse response. The idea is to preserve the spatial frequency content of the image along the gradient at the expense of the content perpendicular to it. The control of the various free parameters of this halftoning method is discussed. Experiments with a gradient- adaptive, space-variant impulse response according to a local transfer function covering elliptic areas show an improved reproduction of high frequencies in the binary image.

Citation Download Citation

Thomas Zeggel and Olof Bryngdahl "Adaptive halftoning based on iterative convolutions", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238743

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available