PCA-Pyramids for Image Compression
Abstract
This paper presents a new method for image compression by neural networks. First, we show that we can use neural networks in a py(cid:173) ramidal framework, yielding the so-called PCA pyramids. Then we present an image compression method based on the PCA pyramid, which is similar to the Laplace pyramid and wavelet transform. Some experimental results with real images are reported. Finally, we present a method to combine the quantization step with the learning of the PCA pyramid.
Cite
Text
Bischof and Hornik. "PCA-Pyramids for Image Compression." Neural Information Processing Systems, 1994.Markdown
[Bischof and Hornik. "PCA-Pyramids for Image Compression." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/bischof1994neurips-pcapyramids/)BibTeX
@inproceedings{bischof1994neurips-pcapyramids,
title = {{PCA-Pyramids for Image Compression}},
author = {Bischof, Horst and Hornik, Kurt},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {941-948},
url = {https://mlanthology.org/neurips/1994/bischof1994neurips-pcapyramids/}
}