Multispectral Compression of Remote Sensing Images
Heikki Kalviainen (University of Lappeenranta, Finland)
Introduction to the topic
Abstract:
Image compression has been one of the mainstream research topics in image
processing. The research usually focuses on compressing images that are
visible to humans. Images are usually gray-level images or RGB color
images. Recent advances in technology, however, enable us to make the
detailed processing of spectral color features in the images. Therefore,
compression of images with many spectral color channels, called
multispectral images, is required. Many methods used in traditional
lossy image compression can be reused also in the compression of
multispectral images. In this presentation, a new combination of
clustering of colors, manipulating spectral color, encoding and
decoding for multispectral images is presented. The approach is based
on extracting relevant color information. Furthermore, some
quantitative quality measures for multispectral images are presented.