article · IEEE Transactions on Image Processing · 1992
Image coding using wavelet transform
Marc Antonini, Michel Barlaud, Pierre-Philippe Mathieu, Ingrid Daubechies
Cited by 3,515Abstract and details only
Abstract
A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed. This method involves two steps. First, a wavelet transform used in order to obtain a set of biorthogonal subclasses of images: the original image is decomposed at different scales using a pyramidal algorithm architecture. The decomposition is along the vertical and horizontal directions and maintains constant the number of pixels required to describe the image. Second, according to Shannon's rate distortion theory, the wavelet coefficients are vector quantized using a multiresolution codebook. To encode the wavelet coefficients, a noise shaping bit allocation procedure which assumes that details at high resolution are less visible to the human eye is proposed. In order to allow the receiver to recognize a picture as quickly as possible at minimum cost, a progressive transmission scheme is presented. It is shown that the wavelet transform is particularly well adapted to progressive transmission.
Cite this paper
Antonini, M., Barlaud, M., Mathieu, P.-P., & Daubechies, I. (1992). Image coding using wavelet transform. IEEE Transactions on Image Processing, 1(2), 205–220. https://doi.org/10.1109/83.136597
Antonini, Marc, et al. “Image coding using wavelet transform.” IEEE Transactions on Image Processing, vol. 1, no. 2, 1992, pp. 205–20, https://doi.org/10.1109/83.136597.
Antonini, Marc, Michel Barlaud, Pierre-Philippe Mathieu, and Ingrid Daubechies. 1992. “Image coding using wavelet transform.” IEEE Transactions on Image Processing 1 (2): 205–20. https://doi.org/10.1109/83.136597.
Antonini, M. et al. (1992) ‘Image coding using wavelet transform’, IEEE Transactions on Image Processing, 1(2), pp. 205–220. Available at: https://doi.org/10.1109/83.136597.
@article{antonini1992image,
title = {{Image coding using wavelet transform}},
author = {Antonini, Marc and Barlaud, Michel and Mathieu, Pierre-Philippe and Daubechies, Ingrid},
journal = {IEEE Transactions on Image Processing},
volume = {1},
number = {2},
pages = {205--220},
year = {1992},
doi = {10.1109/83.136597}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.