基于投影降质图像的对比度调整算法研究
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摘要
获取图像的过程中,经常会遇到由于事物的投影而影响图像的拍摄效果,导致图像不清晰,图像边缘模糊,无法观察部分事物的细节。通过对比度调整,可以增强图像效果。笔者将需要处理的图像经过USM锐化,增强图像的边缘细节信息,利用限制对比度自适应直方图均衡算法完成提高降质图像的清晰度,并通过实验比较了几种算法的效果。
In the process of image acquisition, we often encounter that the projection of objects affects the effect of image shooting, resulting in blurred image, blurred image edges, unable to observe the details of some things. By adjusting the contrast, the image effect can be enhanced. The image that I need to process is sharpened by USM to enhance the edge details of the image. The sharpness of the degraded image is improved by using the adaptive histogram equalization algorithm with limited contrast. The effects of several algorithms are compared through experiments.
In the process of image acquisition, we often encounter that the projection of objects affects the effect of image shooting, resulting in blurred image, blurred image edges, unable to observe the details of some things. By adjusting the contrast, the image effect can be enhanced. The image that I need to process is sharpened by USM to enhance the edge details of the image. The sharpness of the degraded image is improved by using the adaptive histogram equalization algorithm with limited contrast. The effects of several algorithms are compared through experiments.
引文
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[2]杨亚东.基于改进的限制对比度自适应直方图的视频快速去雾算法[J].计算机工程与设计,2015(1):221-226.
[3]范日召.基于反锐化掩膜的红外图像增强算法研究[J].中国科学院长春光学精密机械与物理研究所,2016(6):81.
[4]周慧媛.基于对比度受限自适应直方图多种路面裂缝检测与识别[J].齐鲁工业大学学报,2016(5):27-31.