Minervini, Massimo and Rusu, Cristian and Tsaftaris, Sotirios A. Unsupervised and supervised approaches to color space transformation for image coding. In: Proceedings of the IEEE International Conference on Image Processing (ICIP). IEEE, pp. 5576-5580. (2014)
Full text not available from this repository.Abstract
The linear transformation of input (typically RGB) data into a color space is important in image compression. Most schemes adopt fixed transforms to decorrelate the color channels. Energy compaction transforms such as the Karhunen-Loève (KLT) do entail a complexity increase. Here, we propose a new data-dependent transform (aKLT), that achieves compression performance comparable to the KLT, at a fraction of the computational complexity. More important, we also consider an application-aware setting, in which a classifier analyzes reconstructed images at the receiver's end. In this context, KLT-based approaches may not be optimal and transforms that maximize post-compression classifier performance are more suited. Relaxing energy compactness constraints, we propose for the first time a transform which can be found offline optimizing the Fisher discrimination criterion in a supervised fashion. In lieu of channel decorrelation, we obtain spatial decorrelation using the same color transform as a rudimentary classifier to detect objects of interest in the input image without adding any computational cost. We achieve higher savings encoding these regions at a higher quality, when combined with region-of-interest capable encoders, such as JPEG 2000.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/ICIP.2014.7026128 |
| Uncontrolled Keywords: | Image compression; JPEG 2000; color space transformation; statistical learning |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 02 Feb 2015 09:53 |
| Last Modified: | 02 Feb 2015 09:53 |
| URI: | http://eprints.imtlucca.it/id/eprint/2549 |
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