摘要
传统的图像增强算法在对图像增强的同时,也增强了图像的噪声信号,不利于图像的后期处理.在小波变换增强算法的基础上,提出了多尺度小波梯度图像增强方法.实验证明,该方法在提高图像对比度的同时,有效的解决了噪声也被增强问题,使增强后的图像便于图像分析和后期处理.
Since it enhances the noise signals of the image while enhancing the image, the conventional image enhancement arithmetic disadvantages the follow-up step of processing the image. Based on the arithmetic of enhancing wavelet transform, Put forward an image enhancement method of Multi-scale wavelet grades. It has been proved with experiment that while improving the contrast degree of the image, the method effectively resolves the problem of the noise being enhanced at the same time; thus makes it easy for the enhanced image to be analyzed and processed.
出处
《首都师范大学学报（自然科学版）》
2006年第2期16-19,共4页
Journal of Capital Normal University：Natural Science Edition
基金
北京市科委"计算机多媒体监控系统"资助项目
关键词
图像增强
小波变换
多尺度小波梯度图像增强
image enhancement, wavelettransform, Multi-Scale wavelet grads image enhancement.
