Abstract
In the paper, a new modified version of the fractal image encoding technique, adapted to process binary (black and white) images, is presented. A few invariant image parameters (image smoothness estimates, in particular) are introduced and employed to state the necessary image similarity condition. The latter condition plays a key role in the search process for optimal pairings (range block – domain block), i.e., it enables to narrow greatly the search region (domain pool) for each range block. Experimental analysis results show that implementation of the new modified fractal image encoding technique accelerates image compression times considerably. Exceptionally good results (compression times and quality of restored images) are obtained for binary silhouette images.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.