Image coding using wavelet transforms and entropy-constrained trellis coded quantization
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5 (15206149) , 554-557 vol.5
- https://doi.org/10.1109/icassp.1993.319871
Abstract
The use of entropy-constrained trellis-coded quantization (TCQ) for encoding the wavelet coefficients of both monochrome and color images is investigated. For decomposing images, a separable 2-D discrete wavelet transform in which emphasis is given to the horizontal and vertical directions is used. Nine-tap filters derived from biorthogonal wavelet bases are employed. The lowest-resolution subimage was encoded using a 2-D discrete cosine transform while the other subimages were encoded using TCQ for memoryless data. Excellent peak signal-to-noise ratios are obtained for encoding monochrome and color versions of the 512*512 'Lenna' image. Comparisons with other results from the literature reveal that the proposed wavelet coder is quite competitive.Keywords
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