Kim Seong Jong, Shin In Chul

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 1, pp. 215-222, Jan. 1998
10.3745/KIPSTE.1998.5.1.215,   PDF Download:

Abstract

Fractal-based monochrome image coding method can be easily applied for color image compression by splitting the color image into different primary spectral channels such as RGB, YIQ or CMYK and encoding each channel independently. According to this method, it needs to repeat the fractal coding for each channel with much higher computational requirement. In this paper, local area search method was used to solve this problem and YIQ model was also used to increase compression ratio. Human eye is differently sensitive to Y, I and Q channels and more bits were assigned to Y than I and Q. For each range block, the best-matching domain block was found for Y channel and the corresponding blocks were found for I and Q channels respectively. Therefore, only one geometric transformation (the isometry and the address of the selected domain block) is required to compute the optimal transformation for each YIQ channels. This approach can save both encoding time and increase the compression ratio compared to the other encoding methods.

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