Hybrid Fractal Image Compression using YIQ color space and DCT

Data compression is one of the important topics in computer science that is concerned in reducing the size of data. There are many techniques for data compression used for specific type(s) of data and some other used for general purpose. In this research, the RGB image has been transformed into YIQ color transform, then the I&Q band have been sampled down in order to get effective compression. To break the long encoding time of FIC, many enhanced methods are applied to traditional FIC based on using zero-mean method, in which a mean of range block is used instead of offset parameter which simplify and speed up the encoding time; Also reduce a domain pool by filtration a domain pool from those block with high entropy value, in addition to discard domain blocks which have some distance ratio from matching process. Another speeding up technique is proposed in this research based on suggesting symmetry predictor to reduce isometric trails from 8 to 1 trail. The work proves to have a good result in compression ratio and quality of reconstructed image.

Zena Hussain Khalil: Assistant lecturer in the University of Al-Qadisiyah / College of Mathematics and Computer science - Iraq / Al Qadisiyah.B.Sc. 2005 University of Al-Qadisiyah - college of sciences.M.Sc. 2011 University of Babylon - college of sciences.