This paper proposes a low bit-rate fractal image coding algorithm f o r wireless communication. The fractal imuge coding is well known f o r its high compression performance.This performance is useful f o r the future wireless communication with narrow-band. However: in order IO become a powerful image coding technique f o r the wireless communication, its reconstructed image quality must be improved. Therefore, to achieve further qua& improvement. a novel fractal image coding algorithm is proposed. Some simulation results verib [hat the proposed method can reconstruct the images with 1.4dB higher quality than JPEG at low bit-rates below 0.I2bitspixel and also higher quality than JPEG2000 at very low bit-rates below 0.035-0.0Sbitspixel.
A method for estimating the quality of images compressed by fractal image compression is presented in this paper. Fractal image compression based on an iterated function system is one of the compression techniques for digital images. It utilizes the self-similarity of images and achieves high image-compression performance. However, fractal image compression is currently not being in widespread use because it does not necessarily provide high-quality compressed images.We cannot determine whether a given image is unsuitable for fractal image compression without encoding it. Therefore, in this paper, we propose a new criterion for estimating the suitability of fractal image compression for a given image. By using the proposed criterion, we can estimate the quality of the compressed image in a short time without actually encoding the image.
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