Abstract
Error diffusion is a method for generating high quality bi-level images from continuous tone images. It is well known that certain objectionable patterning artifacts can occur in error diffused images. The author considers a method for adjusting the error diffusion kernel dynamically so that a local frequency weighted square error criterion is minimized. It can be shown that such an error criterion can be expressed as a linear function of the error diffusion filter. One can then use, for example, the LMS algorithm to adjust the filter coefficients concurrently with the halftoning process so that the distortion is minimized. Such an algorithm produces better halftone image quality compared to traditional error diffusion with a fixed filter. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
