摘要
本文通过分析传统直方图均衡化的思想,得出在传统的直方图均衡化处理过程中由于图像的灰度级合并处理造成图像灰度级丢失继而使原图像细节信息损失,使增强后的图像边缘模糊,效果不理想。由此,本文给出了一种在图像经过均衡化处理后可以增加图像灰度级保留图像细节信息的方法。即先提取原目标图像中的高频细节成分,然后将其与原目标图像经直方图均衡化处理后的结果做叠加。经试验验证,与传统的直方图均衡化[1,2]算法相比,本文算法处理后的目标图像在增强了整体对比度的同时也保留了原图像的细节信息,能达到比较理想的增强效果。通过采用本文提出的改进算法,可以有效的实现图像增强的同时尽可能的保留图像细节信息的效果。
(purpose) This paper analyzes the idea of traditional histogram equalization,drawn in the tradi-tional histogram equalization process because the image grayscale image grayscale consolidation resulting loss of image detail and then the loss of the original,the blurred edge enhanced image,the effect is not ideal. Thus, this paper presents a balanced treatment of the image after the image gray level can be in-creased after preserving image detail information.(Method) which is to extract the original target image in high-frequency detail components, and then the original target image by histogram equalization processing the results do stack.(Conclusion) verified by tests with conventional histogram equalization algorithm, this algorithm is processed target and enhance the overall image contra st while retaining the original im-age details,to achieve the ideal enhancement.By using the proposed algorithm can effectively realize image enhancement as m ch as possible wh le preserving image details effect.
出处
《电子测试》
2013年第10X期51-52,48,共3页
Electronic Test
基金
陕西省教育厅专项科研计划项目(2010JK592)
