基于非线性处理的图像增强算法研究

近年来,基于非线性处理的图像增强技术成为相关领域研究人员关注的一个热点。尽管非线性方法与通常的图像增强算法相比.其计算量非常大,但是灵活多样的数值计算方法使其能够满足高质量图像方面的需要.因而基于非线性图像处理的图像增强方法逐渐在图像处理领域中受到青睐。本文以处理图像的特征及经典增强方法为理论基础.分别从提高图像对比度、抑制噪声及突出弱小目标三个角度研究了图像的增强算法。针对经典增强算法出现的灰度级合并、细节丢失等问题.突出目标细节.从非线性变换出发.提出了基于非线性的图像增强算法。经仿真实验结果表明.这种改进方法简单易行、运算量小.易于实时处理.对于某些图像取得了比现有增强方法更好的效果。

Image enhancement algorithm based on nonlinear processing

In recent years, image enhancement technologies based on nonlinear processing algorithm become focusesof concern in the related research fields. Compared with the usual image enhancement algorithms, the non-linear image enhancement algorithm has very large amount of computation, but its flexible numerical computation method can meet the requirements of high-quality image process. So the image processing methods based on nonlinear image enhancement algorithm are gaining favor gradually in image processing fields. Based on the classical theories, image enhancement algorithms are researched in this paper from three perspectives of improving image contrast, suppressing noise and highlighting small targets . Against the problems of gray-scale merger and detail-missing in the classical enhancement algorithms, an image enhancement algorithm based on the nonlinear transform is proposed. The simulation results show that this improved method is simple, efficient, and easy processing in real time, which has better results than some existing image enhancement methods.