@InProceedings{Supelec247,
author = {Michel Narozny and Michel Barret},
title = {{ICA-Based Algorithm Applied to Image Coding}},
year = {2007},
booktitle = {{Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007)}},
number = {I},
pages = {1033-1036},
month = {April},
address = {Hawaii (USA)},
url = {http://hal-supelec.archives-ouvertes.fr/hal-00216169/fr/},
abstract = {Recently, Narozny et al [1] proposed a new viewpoint in variable
high-rate transform coding. They showed that the problem of
finding the optimal 1-D linear block transform for a coding
system employing entropy-constrained uniform quantization may be
viewed as a modified independent component analysis (ICA)
problem. By adopting this new viewpoint, two new ICA-based
algorithms, called GCGsup and ICAorth, were then derived for
computing respectively the optimal linear transform and the
optimal orthogonal transform. In this paper, we show that the
transforms returned by GCGsup and ICAorth can achieve better
visual image quality(better preservation of lines and contours)
than the KLT and 2-D Discrete Cosine Transform (DCT) when
applied to the compression of well-known grayscale images.}
}