2 Transform and Encoding Algorithm

نویسنده

  • Tilo Strutz
چکیده

The present contribution proposes a new remarkably eecient image compression algorithm for graylevel images based on dyadic wavelet transformation. In order to achieve perfect reconstruction, orthogonal decomposition is applied. Scalar quantization of wavelet coeecients is combined with run-length coding. Code word assignment is performed by semi-adaptive Huuman coding (determined by validity tables). To improve the reconstruction quality of images a new technique of pdf-adaptive reconstruction of wavelet coeecients (PAR) is used.

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تاریخ انتشار 1995