
Research Article
Design of Fractal Image Coding Compression and Transmission Model Based on Wavelet Transform
@INPROCEEDINGS{10.1007/978-3-030-94551-0_2, author={Jie He and Hai-xiao Gong and Hong- yan Lu}, title={Design of Fractal Image Coding Compression and Transmission Model Based on Wavelet Transform}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I}, proceedings_a={ADHIP}, year={2022}, month={1}, keywords={Wavelet transform Fractal image Image coding Image compression Transmission model}, doi={10.1007/978-3-030-94551-0_2} }
- Jie He
Hai-xiao Gong
Hong- yan Lu
Year: 2022
Design of Fractal Image Coding Compression and Transmission Model Based on Wavelet Transform
ADHIP
Springer
DOI: 10.1007/978-3-030-94551-0_2
Abstract
Coding and compression of image data is the key to high quality storage and transmission of image data. For this reason, this research designed a new fractal image coding compression and transmission model based on the wavelet transform process based on the analysis of the advantages and disadvantages of the basic fractal coding compression algorithm. Firstly, the image is decomposed by two-level wavelet transform, and then the decomposed high-level sub-images are subjected to basic fractal coding, and according to the similarity between the sub-image structures of different layers, the low-level sub-image fractal coding is constructed from the high-level fractal coding to realize the image High-quality transmission. Experimental results show that the model has achieved good application effects in shortening the image encoding time and improving the compression ratio.