Certainly there is nothing new about wavelet image compression, but the goal here is to develop a system specifically for images taken by aerial remote sensing imagers. These images are meant for research purposes and therefore possess features that set them apart from aesthetic images. For sure, the reconstruction fidelity of hyperspectral is far more important because of the precision necessary for scientific data.
The design focuses around three components, a transform to represent the image as translations and dilations of wavelet functions, a quantizer to convert wavelet coefficients into small integers, and an entropy encoder to take advantage of redundancies and rewrite the information as its theoretic minimum. Each area has its own unique problems associated with multidimensional images.
Walt Houser CPCUG
Coordinator.