一种基于图像方向信息测度算法的自适应表格图像增强算法

图像增强是图像处理的重要任务.为了有效地增强对比度极低的表格图像,提出了基于图像方向信息测度算法的自适应图像增强算法.该方法首先在像素级利用图像方向信息侧度将图像像素分为平滑点和阶跃边缘点;然后针对表格图像特点,再对平滑点细分为平滑点和屋脊边缘点,同时,对不同类型的点设计不同的滤波方法,以便通过算法自适应来初步增强图像;最后,利用模糊增强算法来对图像进行对比度增强,以达到更好的增强效果.实验表明,该算法能有效地增强对比度极低的表格图像,并使得结果图像有很好的视觉效果.

An Algorithmic Adaptive Enhancement Algorithm of Form Image Based on Image Information Measure

Image enhancement is an important task of image processing. We propose an algorithmic adaptive image enhancement method based on image information measure in this paper. At the image pixel level, image pixels are classified into smooth pixels and edge pixels by using image information measure, then the smooth pixels are farther classified into smooth pixels and ridge pixels aiming at the feature of form image. Relevant filtering algorithms are designed for different types of pixels, which realizes algorithmic adaption and enhance image primarily. Finally, the multi_level fuzzy enhancement algorithm is imposed to enhance image contrast and achieve a better enhancement effect. Experimental results show that the algorithm can enhance the low contrast image effectively and obtain a very good visual effect.