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ICIP
2003
IEEE

Class-adapted image compression using independent component analysis

12 years 11 months ago
Class-adapted image compression using independent component analysis
This paper exploits independent component analysis (ICA) to obtain transform-based compression schemes adapted to specific image classes. This adaptation results from the data-dependent nature of the ICA bases, learnt from training images. Several coder architectures are evaluated and compared, according to both standard (SNR) and perceptual (picture quality scale ? PQS) criteria, on two classes of images: faces and fingerprints. For fingerprint images, our coders perform close to the well-known special-purpose wavelet-based coder developed by the FBI. For face images, our ICA-based coders clearly outperform JPEG at the low bit-rates herein considered.
Artur J. Ferreira, Mário A. T. Figueiredo
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Artur J. Ferreira, Mário A. T. Figueiredo
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