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.

References

[1] SchwartzE. L., GreveD. N., BonmassarG.. Neural Works, 1995, 8: 1297-1297

[2] BolducM., LevineM. D.. Computer Vision and Image Understanding, 1998, 69: 170-170

[3] SchwartzE. L.. Biological Cybernetics, 1977, 25: 181-181

[4] C. F. R. Weiman and R. D. Juday,In SPIE Int. Conf. on Intelligent Robots and Computer Vision VIII: Algorithms and Techniques,1192 (1990), 843.

[5] TistarelliM., SandiniG.. IEEE Transactions on PAMI, 1993, 15: 401-401

[6] FerrariF., SandiniG.. Sensor Review, 1995, 15: 17-17

[7] Li-shuangLiu, YaoZhang, Hui-qingLu. Journal of Optoelectronics · Laser, 2005, 16: 993-993(in Chinese)

[8] Wen-wenYu, Xiao-longTeng, Chong-qingLiu. Journal of Optoelectronics · Laser, 2005, 16: 479-479(in Chinese)