Comparative analysis on rectangular non-uniform sampling algorithm and log-polar transformation algorithm of image
矩形非均匀采样算法和对数级坐标变换算法的比较分析

The image's peripheral area is blurry and some details may be lost with log-polar transformation(LPT).So the rectangular non-uniform sampling algorithm(RNS) was proposed.In the method,the size of central area was adjusted according to actual requirements and the central area was sampled uniformly.The peripheral area was layered and the sampling rate in every layer was uniform.Along with the increase of the distance apart from the center,the sampling rate was gradually reduced.The data quantities of classical LPT variable parameter LPT(VPLPT) and RNS were compared.In general,the calculating quantity of rectangular algorithm is the least.The distortion of image caused by LPT can be overcome.The algorithm can be easily implemented with hardware.