3种不同灰度图像增强算法比对

The Comparison of Three Gray-Scale Image Enhanced Algorithm

关键词:  图像增强  灰度图  直方图  平滑  锐化

Key words:  image enhancement  gray-scale image  histogram equalization  smoothing  sharpening

摘要:

在简要阐述直方图均衡化、平滑、锐化3种图像增强算法的基础上,分别用这3种算法处理灰度图像,比对它们对图像的处理效果,分析3种方法在图像增强处理能力的优劣之处。结果发现,直方图均衡化可以均衡图像的灰度等级,提高图像的对比度,但是图像的细节损失;图像平滑可以减少或消除图像的噪声,使图像突兀的地方变得不明显,但是会使图像模糊;图像锐化使图像的边缘、轮廓变得清晰,但是图像的信噪比有所下降。

Abstract:

On the basis of simply demonstrating three types of image enhanced algorithms, which are Histogram equalization,images moothing and image sharpening,the processiong effects and advantages of these three types were compared.Consequently, this article found that Histogram equalization could balance the grays scope and improve the contrast of images while suffering some details loss; images smoothing could decrease or diminish image noise and made the abrupt objects indistinct wihle suffering blurred images; and image sharpening might make the edge and figure of the images distinct while lightly decreasing the SNR.