Research Article
Fast Fractal Image Compression Algorithm Based on Compression Perception
@INPROCEEDINGS{10.1007/978-3-031-04409-0_27, author={Lixian Zhang and Caixu Xu and Jie He}, title={Fast Fractal Image Compression Algorithm Based on Compression Perception}, proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings}, proceedings_a={MLICOM}, year={2022}, month={5}, keywords={Image compression Fractal coding Compression perception Wavelet transform}, doi={10.1007/978-3-031-04409-0_27} }- Lixian Zhang
Caixu Xu
Jie He
Year: 2022
Fast Fractal Image Compression Algorithm Based on Compression Perception
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_27
Abstract
To address the problem of long coding time of fractal image compression algorithm, this paper proposes a fractal image compression algorithm based on compression perception. Firstly, the algorithm is coded in the wavelet domain by separating the high and low frequency signals of the image, then, the low frequency information is fractally coded, while the sparse high frequency signals are sampled and coded in a compression-aware manner, and finally, a better image reconstruction compensation effect is achieved with the premise of reducing the number of coding searches and coding time. The experimental results show that this algorithm has a slight decrease in coding quality and compression ratio compared to fractal coding image compression, but has a superior improvement in coding speed.
