High resolution imaging: Capture, storage and accesseResearch 2014, Melbourne
Thai translation by Ashna Bhatt.
Photographic images are a key asset in many areas of research and resolution is often a limiting factor to their research and archive value. In cases where higher resolution is necessary one quickly realizes that it is not possible to simply purchase a camera with an arbitrarily high resolution sensor. One solution to acquiring higher resolution images is to take a number of photographs and, using a range of algorithms in computer graphics and machine vision, combine those photographs into a single high resolution composite image. The process is scalable, the higher the resolution required the more photographs need to be taken. Such images have the advantage of capturing/recording in a single image the detail (zoomed in) as well as the context (zoomed out) of an object or place.
There are a number of challenges that arise when dealing with the resulting high resolution images. These include
Presentation slides: presentation.pdf