基于塔型结构和LIP模型的图像增强方法

Image enhancement method based on combining pyramid structure with LIP model

为了提高医学灰度图像的整体对比度,通过融合金字塔结构和对数图像处理(Logarithm Image Processing,LIP)模型,给出一种图像增强算法。新算法引入图像金字塔结构,对灰度图像进行塔型分解,并采用梯度锐化和LIP模型对分解图像进行增强后,再实现图像重建,并逐层累加突出图像细节,以挖掘LIP模型的局部增强特性。仿真结果表明,新算法可改善灰度图像的纹理细节和对比度。

In order to improve the contrast for medical grayscale image, an image enhanced algorithm is proposed by combining the structure of pyramid with the LIP （logarithm image processing） model. Firstly a structure of pyramid is introduced. Secondly the grayscale image is decomposed by the pyramid algorithm. In the end, the decomposed sub-images are enhanced by combining gradient sharpening with LIP Model, and a new image is reconstructed by inverted transformation. Through layer upon layer, the detail information of the image is obviously improved by taking good advantages of the performance of LIP model. Experimental results show that the algorithm proposed is more efficient in increasing the texture detail and contrast of the image.