摘要
网络视频图像的双距离较远,环境复杂,很难保证压缩还原后的图像质量,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,导致传递图像失真。为此,提出了一种基于像素小基团增强的网络课件图像清晰化算法。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。利用像素基团能量的观点对图像进行增强处理,保证传递的动态图像的清晰化。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。
Network video image double distance is far, the environment is complex, it was difficult to ensure that the compression reduction after the image quality, makes the image contains a large number of random multidimensional noise, the noise characteristics attribute present diversity, leading to transfer image distortion. Therefore, this paper proposes a based on pixel small group enhanced network courseware image biaxial streching algorithm. Using discrete wavelet transform algorithm for image denoising processing, remove the outside factors on image caused by the interference. Use pixel group energy point of view to do image enhancement processing, guarantee the dynamic image transfer their respective crisp equivalents. The experimental results show that, this algorithm improves the remote network video education dynamic image resolution.
出处
《科技通报》
北大核心
2013年第10期115-117,共3页
Bulletin of Science and Technology
关键词
视频教育
像素基团
图像清晰化
video education
pixel group
image shedding light
