利用边缘信息的二值图像遗传恢复算法

多数遗传算法在进行图像恢复时并没有充分考虑图像本身的特点.本文提出了一种新的二值图像恢复算法.它利用二值图像具有0、1两个灰度值和明显的边缘信息的特点,并将该信息加入到遗传算法的变异算子中.变异时,只对非边缘信息点进行0或1改变.实验结果表明,该方法比简单遗传算法的恢复结果更准确,并在一定程度上保护了图像边缘;同时,该方法的恢复结果明显优于传统图像恢复方法.

Binary image genetic restoration algorithm using edge information

Most genetic algorithm during the image restoration did not fully consider the characteristics of the image itself.In the paper,a new binary image restoratioin algorithm is proposed.It uses the binary image with two gray values 0,1 and obvious characteristics of the edge information and added the information to the genetic algorithm＇s mutation operator.When mutation,only non-edge information to 0 or 1 point change.Experiments demonstrate that this method is better than simple genetic algorithm in human perception,and to some extent,protect the image edge information.At the same time,the results of this method is significantly higher than traditional image restoration methods.