Hybrid Fractal Image Compression for Satellite Images
نویسندگان
چکیده
9 Abstract— In this paper, we present a hybrid fractal image compression method for satellite images. The proposed algorithm uses entropy and arithmetic coding. The satellite image is decomposed into low frequency sub-band and high frequency sub-band. The low frequency sub-band uses fractal coding, thus making the low-frequency information loss less which is sensitive to human visual system. The high frequency sub-band uses arithmetic coding. Affine transformation and iterative function system techniques have been applied for the compression and decompression of satellite images. The Matlab simulation results show significant improvement in the compression ratios, PSNR values and encoding time.
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