Abstract

Image coding technology plays an important role in data transmission, and fractal image compression coding algorithm has attracted much attention due to its high compression ratio and excellent recovery effect. Based on the basic fractal image compression algorithm, this paper proposes a classification parent block fractal image compression algorithm based on ‘shizi’ feature. In the algorithm, the parent block is divided into three categories according to the ‘shizi’ feature of the parent block, which constitutes three types of codebooks and form three types of codebooks. The composition of each codebook is determined by the partition threshold. Child blocks are divided into stationary blocks and feature blocks, and each of them searches for the best matching block in the corresponding codebook. This algorithm can effectively shorten the encoding time, and the image recovery effect is also very impressive.

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.