Inverse log polar transformation algorithm based on sub-pixel interpolation

Abstract:

Log polar transformation is an important algorithm of space-variant vision theory. It well depicts the retinocortical mapping. Due to the logarithmic and the arctangent operation in the transformation,the log polar coordinate of an image is mostly a decimal fraction and the range is quite narrow. Aiming at solving these problems,this paper puts forward an inverse log polar transformation based on sub-pixel interpolation. The acquired log polar image of the new algorithm has no mosaic phenomenon,meanwhile it is a better simulation of retina-cortical mapping.