基于模糊同态滤波的彩色图像增强算法

针对传统图像增强方法难以满足低照度彩色图像增强的需要,提出了一种新的模糊同态滤波的图像增强算法的分析与实现。该算法通过HSV彩色空间将模糊域与同态滤波方法相结合,在保持图像色调不变的基础上可以消除传统同态滤波算法对图像尺寸的依赖以及降低傅里叶变换和傅里叶反变换需要的计算复杂度。通过将所提出的算法与传统同态滤波算法进行比较,结果显示模糊同态滤波方法提供的图像增强算法有更好的增强效果,表明该算法在图像增强方面的有效性。

Color Image Enhancement Algorithm Based on Fuzzy Homomorphic Filtering

Aiming at the difficulty for traditional image enhancement methods to meet the requirements of low illumination color image enhancement,a new image enhancement algorithm based on fuzzy homomorphic filtering is proposed.The algorithm combines the fuzzy domain with the homomorphic filtering method through the HSV color space,which can eliminate the dependence of the traditional homomorphic filtering algorithm on image size and reduce the computational complexity of Fourier transform and inverse Fourier transform on the basis of keeping the image tonality unchanged.By comparing the proposed algorithm with the traditional homomorphic filtering algorithm,the results show that the image enhancement algorithm provided by the fuzzy homomorphic filtering method has better enhancement effect,indicating the effectiveness of the algorithm in image enhancement.