摘要
图像增强技术在图像处理中占据重要一环,在自然场景中由于天气影像问题导致输出图像模糊不清.基于此,对图像增强的基本方法进行深入剖析,对比了不同图像增强基本方法的优缺点.研究发现,利用小波图像压缩技术对图像进行分频处理,运用灰度变换和直方图均衡化,可以对压缩后损失的部分进行再次增强.
Image enhancement technology plays an important role in image processing. In natural scene,the output image is blurred due to weather image problems. Based on this,the basic methods of image enhancement are deeply analyzed,and the advantages and disadvantages of different basic methods of image enhancement are compared. It is found that the part of the post-compression loss can be enhanced again by using wavelet image compression technology to divide frequency processing,and by using gray transformation and histogram equalization.
作者
苗燕春
MIAO Yan-chun(Department of Information Engineering,Anhui Industrial Vocational and Technical College,Tongling 244000,China)
出处
《白城师范学院学报》
2019年第8期32-36,共5页
Journal of Baicheng Normal University
关键词
图像增强
灰度变换
小波压缩
直方图均衡化
image enhancement
gray transformation
wavelet compression
histogram equalization