Proceedings ArticleDOI
Image coding using wavelet transforms and entropy-constrained trellis coded quantization
P. Sriram,Michael W. Marcellin +1 more
- Vol. 5, pp 554-557
TLDR
Good peak signal-to-noise ratios are obtained for encoding monochrome and color versions of the 512*512 'Lenna' image and comparisons with other results from the literature reveal that the proposed wavelet coder is quite competitive.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. >read more
Citations
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Journal ArticleDOI
Quantization
Robert M. Gray,David L. Neuhoff +1 more
TL;DR: The key to a successful quantization is the selection of an error criterion – such as entropy and signal-to-noise ratio – and the development of optimal quantizers for this criterion.
Journal ArticleDOI
A successive approximation vector quantizer for wavelet transform image coding
TL;DR: It is shown that lattice codebooks are an efficient tool for meeting conditions without the need for very large codebooks for fast encoding algorithms, and SA-W-VQ performs remarkably well at several bit rates and in various test images.
BookDOI
Wavelets in Signal and Image Analysis
TL;DR: The intention of this paper is to pro vide an elementary introduction to the subject of discret e-t ime wavelets and reviews t heir properties in a syste mat ic and consiste nt way.
Journal ArticleDOI
Wavelet transforms in a JPEG-like image coder
TL;DR: Objective results and reconstructed images are presented demonstrating that the proposed coder outperforms JPEG and approaches the performance of more sophisticated and complex wavelet coders.
Journal ArticleDOI
SAR image compression with the Gabor transform
TL;DR: Subjective image quality assessment experiments indicate that the Gabor transform/trellis-coded quantizer compression system performs significantly better than adaptive scalar and vector quantizers and JPEG on these SAR images.
References
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