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Adaptive image coding using spectral classification
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DOI：10.1109/83.663509.png)
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Abstract
En 中文
We present a new classification scheme, dubbed spectral classification, which uses the spectral characteristics of the image blocks to classify them into one of a finite number of classes, A vector quantizer with an appropriate distortion measure is designed to perform the classification operation. The application of the proposed spectral classification scheme is then demonstrated in the context of adaptive image coding, It is shown that the spectral classifier outperforms gain-based classifiers while requiring a lower computational complexity.
Keywords:
classification
discrete cosine transform
image coding
trellis-coded quantization
wavelet transform
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