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The amount of image data generated by capsule endoscopy is so large that data compression is desirable. In our compression scheme, a codebook (CB) replenishment mechanism is incorporated in a wavelet-based adaptive vector quantizer (VQ). The progressive SPIHT coding is used to meet the quality demand from a user. Furthermore, in our VQ implementation, a modeling, rather than a training, technique is proposed to generate an initial CB, where a pseudo-noise sequence is used to create such a CB at both the encoder and the decoder. Experimental results show that the proposed CB modeling method produces comparable performance to the one using CB training.
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on (Volume:2 )
Date of Conference: 4-7 July 2005