Compression of Multispectral Images: Color (RGB) plus Near-Infrared (NIR)

We propose a compression framework for four-channel images, composed of color (RGB) and near-infrared (NIR) channels, which exploits the correlation between the visible and the NIR information. The high-frequency components of both visible and NIR scene representations are strongly correlated. By encoding only the DCT components that differ above a chosen threshold, we significantly improve compression ratios for a given quality level. To evaluate our proposed method, we compare our results with standard JPEG compression, as well as PCA-based approaches that are often employed to compress multispectral images. Our experiments show that applying our proposed method yields the same quality at a lower bit-rate, compared to conventional JPEG and PCA-based algorithms.


Published in:
Procedings of the IEEE 14th International Workshop on Multimedia Signal Processing (MMSP), 65-70
Presented at:
IEEE International Workshop on Multimedia Signal Processing, Banff, Canada, September 17-19, 2012
Year:
2012
Publisher:
New York, Ieee
ISBN:
978-1-4673-4571-2
Keywords:
Laboratories:




 Record created 2012-10-15, last modified 2018-09-13

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