摘要
图像采集过程中受到多种因素的影响,使得原始图像质量难以满足图像处理的实际要求,为了提高图像的质量,设计了基于改进Retinex的图像增强算法。首先对当前图像增强的研究现状进行分析,然后描述了Retinex算法的工作原理,并对其不足进行相应的改进,最后将改进Retinex算法应用于图像的增强中,并采用多幅图像进行了仿真实验。结果表明,改进Retinex算法能够大幅度提升图像视觉效果,而且各种定量评价指标也优于当前其它图像增强算法,具有广泛的应用范围。
The image acquisition process is affected by many factors so that the quality of the original image is difficult to meet the actual requirements of image processing. In order to improve the quality of the image, an improved Retinex based image enhancement algorithm is designed. First of all, the current research status of image enhancement is analyzed, and then the working principle of Retinex algorithm is analyzed, and its shortcomings are improved. Finally, the improved Retinex algorithm is applied to image enhancement, and the simulation experiment is carried out with specific images. The results show that the improved Retinex algorithm can greatly improve the visual effect of the image, and the quantitative analysis index is also better than the other image enhancement algorithms, and has a more extensive application value.
作者
沈海洋
SHEB Haiyang(Jiangsu Food & Pharmaceutical Science College, Huai'an, II3005)
出处
《微型电脑应用》
2019年第6期144-146,共3页
Microcomputer Applications
关键词
图像处理
增强算法
视觉效果
峰值信噪比
Image processing
enhancement algorithm
Visual effect
Peak signal-to-noise ratio