基于直觉模糊集和直方图均衡的图像增强方法

Image Enhancement Based on Intuitionistic Fuzzy Sets and Histogram Equalization

针对模糊增强不能改善图像的对比度和直方图均衡增强存在过度增强、图像细节信息丢失的缺陷,提出了基于直觉模糊集和直方图均衡的图像增强算法。由于待增强图像包含大量的不确定性信息,给出了一种新的直觉模糊增强图像的算法,该方法通过合成像素的直觉模糊隶属度和非隶属度的方式来实现,能够显著增强图像的细节信息,但不能改善图像对比度。因此,将直觉模糊增强和直方图均衡进行融合,以直觉模糊增强为主,同时抑制直方图均衡的不足,既增强了图像的细节信息,又改善了图像的对比度。最后,通过典型的图像增强实例验证了算法的有效性和可靠性。

In the field of image enhancementthe method of Intuitionistic Fuzzy Sets(IFS)can't improve the contrast of the imageand the method of Histogram Equalization(HE)may cause over enhancement and loss of detailed information.To solve the problemsan image enhancement algorithm based on IFS and HE is proposed.The image to be enhanced contains a lot of uncertain informationso a new IFS-based algorithm of image enhancement is proposed.This algorithm is realized by synthesizing the membership and non-membership of pixels in an IFSwhich can significantly enhance the detailed information of the imagebut cannot improve the contrast of the image.Thereforethe IFS-based algorithm is combined with HEin which IFS-based enhancement is given priority and the defects of HE-based enhancement are suppressed.The algorithm can not only enhance the details of the imagebut also improve the contrast of the image.Finallythe effectiveness and reliability of the algorithm are verified by a typical example of image enhancement.