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In this thesis, a progressive image transmission
algorithm is proposed, which is designed to remove
perceptual redundancy inherent in an image is quantified by
just noticeable distoration (JND) through a perceptual model.
The perceptual model is obtained by incorporating the
well-known characteristics of human perception including
contrast sensitivity and spatial masking. The proposed
algorithm not only maintains high image quality with high
compression ratio, but also reduces the required the
computation complexity. The experimental results show that
the proposed algorithm has excellent performance that is
superior to conventional hierarchial image compression
algorithm and the JPEG progressive algorithm.
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