Compression of Spectral Images

摘要: In this chapter we describe methods how to compress spectral imaging data. Normally the data is presented as images which can be considered generalizations of colour images. Rapid technological development in devices has initiated need for compression raw Spectral been central many remote sensing applications like geology and environment monitoring. Nowadays, new application areas have arisen industry, example quality control assembly line products applications, where traditional three-chromaticity measurements are not accurate enough. produces large amounts will processed later various applications. Image provides a possibility reduce amount storing transmission purposes. The image either lossless or lossy. lossy reconstructed should estimated evaluate usefullness justified sense that ratios much higher than case identical now available different due systems (Hauta-Kasari et al., 1999; Hyvarinen 1998). Geoscience main but nowadays several emerged industry. For example, control, exact measurement, reproduction use information, since RGB information only sufficient. one research topics processing. usually developed visible humans, i.e. grey-scale Applications field recent advances industrial however require (Vaughn & Wilkinson, 1995). Some (Memon 1994; Roger Cavenor, 1996), most (Abousleman 1997; Gelli Poggi, 1999). accept compressed by scheme, naturally important features must present. If method cancels out any then decrease Compression required captured Regular digital cameras everyday apply JPEG TIFF-compression. Images displayed web-