A study of different unwarping methods for omnidirectional imaging

This paper evaluates the performance of the 3 universal un-warping methods currently applied actively around the world in transforming omnidirectional image to panoramic image, namely the pano-mapping table method, discrete geometry method (DGT) and the log-polar mapping method. The algorithm of these methods will first be proposed, and the code will then be generated and be tested on several different omnidirectional images. The images converted will then be compared among each other and be evaluated based on their performance on the resolutions, quality, algorithm used, complexity based on Big-O computations, processing time, and finally their data compression rate available for each of the methods. The most preferable unwarping method will then be concluded, taking into considerations all these factors.