改进APEX算法在图像增强中的应用

The Improved APEX Method Applied in Image Enhancement

APEX是一种基于快速傅立叶变换的直接盲解卷积算法,能够快速复原复杂纹理图像。该算法适用于平移不变且以2维放射对称Le’vy Stable概率密度函数(G类点扩散函数)作为卷积核的图像。论述了A-PEX算法的原理,并针对APEX在适应性和稳定性方面的不足提出了改进方法。实验表明,改进的APEX算法能够有效应用在多种真实模糊图像上,增强图像对比度和锐化图像细节,使图像的视觉效果得到明显改善。

The APEX method is an FFT-based direct blind deconvolution technique that can recover complex texture imagery quickly. The method is appropriate for the a restricted class of shift-invariant blurs that can be expressed as finite convolution products of two-dimensional radially symmetric Le＇vy stable probability density function. This paper discussed the theory of APEX method, and put forward the improved method for the deficiency of adaptability and stability of APEX. The improved APEX method could be usefully applied to a wide variety of real blurred images and enhanced contrast and sharpened structural details, leading to noticeable improvement in visual quality.