A Fractal Image Compression Method Based on Multi-Wavelet
Abstract: How to effectively
store and transmit such multi-media files as image and video has become a
research hotspot. The traditional compression algorithms have a relatively low
compression ratio and bad quality of decoded image, at present, the fractal
image compression method with a higher compression ratio fails to meet the
requirements of the practical applications in the quality of the compressed
image as well as the coding and decoding time. This paper integrates fractal
thought and multi-wavelet transform and proposes a fractal image compression
algorithm based on multi-wavelet transform. To transform the image model into a
combination of relevant elements in the frequency domain instead of merely
building on the foundation of the neighborhood gray-scale correlation has the
ability to code larger image blocks, eliminates the possibility of global
correlation in the image and improves the coding speed of the existing fractal
image compression algorithm. The experimental result shows that the algorithm
proposed in this paper can accelerate the coding speed of the present fractal
image compression and have certain self-adaptivity while slightly reducing the
quality of decoding image.
Author: Yan Feng, Hua Lu,
XiLiang Zeng
Journal Code: jptkomputergg150130
