Abstract

In this study, we aim to develop a fast algorithm for fractal image compression. The algorithm, which is fundamentally based on using of hash functions, tested with popular images and compared with other significant fractal image compression algorithms in terms of compression time, compression ratio and PSNR. This algorithm gives high quality results with high compression rates. Among current image compression methods like wavelet based methods, fractal image compression methods are known as slow and inadequate output quality, they remain as academic works, so they aren't preferred for image compression, but this study proposed a high quality and fast alternative. Also, fractal methods improve perceptual quality of results of all other popular methods. The proposed method, which can also be used for color images and video compression, is examined in several aspects and discussed the performance results.

Full Text

Published Version

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 call

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.