远程网络视频教育动态图像清晰化方法研究

摘要

研究远程网络视频教育动态多帧图像清晰化传递问题.网络视频教育中,授予双方所处的范围距离较远,图像信息压缩后会严重降低图像的清晰度,使得图像包含大量的随机多维噪声,噪声特征属性呈现多元性.传统的图像去噪方法在针对远程传递图像的噪声时,很难针对这种多维噪声属性建立动态的阀值,造成图像去噪效果不好,导致传递图像失真.为此,提出了一种基于离散小波变换算法的远程网络视频教育动态图像清晰化方法.利用离散小波变换算法对图像进行去噪处理,去除外界因素对图像造成的干扰.对视频图像进行直方图均衡化处理,实现远程网络视频教育动态图像的清晰化.实验结果表明,这种算法提高了远程网络视频教育动态图像的清晰度.%Research the transmission problem of dynamic multi—frame image for the remote network video education. In network video education, because of the long distance, the compression of the image information will seriously reduce the definition of images, so that the images contain a lot of random multidimensional noises whose characteristic properties are diversity. To solve this problem, this paper raised a method of dynamic image definition for the remote network video education based on discrete wavelet transform algorithm. This paper used discrete Wavelet Transform algorithm for image denoising process in order to remove the interference of the image caused by external factors. The paper also used histogram equalization to realize dynamic image definition for remote network video education. Experimental results show that the algorithm improves the definition of dynamic image the remote network video education.