The Efficient Processing of Solar Satellite Images

The Sun is of fundamental importance to life on earth and is studied by scientists from many disciplines. It exhibits phenomena on a wide range of observable scales, timescales and wavelengths and due to technological developments there is a continuing increase in the rate at which solar data is becoming available for study which presents both opportunities and challenges. This book investigates the development of new technologies for processing information contained in multiple and overlapping images of the same scene to produce images of improved quality. This area in general is titled Super Resolution (SR), and offers a technique for reducing artefacts and increasing the spatial resolution. Another challenge is to generate 3D images such as Anaglyphs from uncalibrated pairs of SR images. An automated method to generate SR images is presented here. The SR technique consists of three stages: image registration, interpolation and smoothing. Then a method to produce enhanced, near real-time, 3D solar images from uncalibrated pairs of images is introduced.

Autorentext

I got my BSc in computer science from Isra University (Jordan) in 1999 and my MSc in Information System (IS) from the University of Arab Academy for Banking and Financial Sciences (AABFS) in 2001. Also I got my PhD in computer vision systems in 2011 from University of Bradford (UK). Currently I am a working as a college professor in CS department.