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Compression of multispectral images: color (rgb) plus near-infrared (nir).
| Content Provider | CiteSeerX |
|---|---|
| Author | Salamati, Neda Sadeghipoor, Zahra Süsstrunk, Sabine |
| Abstract | Abstract—We propose a compression framework for fourchannel 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. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multispectral Image Dct Component Compression Framework High-frequency Component Nir Information Pca-based Algorithm Chosen Threshold Conventional Jpeg Compression Ratio Pca-based Approach Nir Scene Representation Quality Level Standard Jpeg Compression Fourchannel Image |
| Content Type | Text |
