Sparse natural image statistics and their applications to colorization and compression

Balinsky, Alexander ORCID: https://orcid.org/0000-0002-8151-4462 and Mohammad, Nassir 2010. Sparse natural image statistics and their applications to colorization and compression. Presented at: 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, China, 26-29 September 2010. Published in: Siu, W.-C. ed. 2010 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 Sept. 2010. Los Alamitos, CA: IEEE, pp. 1661-1664. 10.1109/ICIP.2010.5652168

Full text not available from this repository.

Abstract

Statistical analysis of natural luminance and colour images have shown to display non-Gaussian distributions. We review a recent result on the non-linear sparse filter response distribution observed in, and illustrate its application to the problem of colorizing natural gray images. We further utilise elements of both image statistics and colorization for compression of the chromacity channels of image data.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	L1 optimisation; Natural images; colorization; compression; compressive sensing; filter response; sparse distributions.
Publisher:	IEEE
ISBN:	9781424479924
Last Modified:	19 Oct 2022 10:28
URI:	https://orca.cardiff.ac.uk/id/eprint/24439

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item