CAJ | 학술논문

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。
망락시빈도상적쌍거리교원，배경복잡，흔난보증압축환원후적도상질량，사득도상포함대량적수궤다유조성，조성특정속성정현다원성，도치전체도상실진。위차，제출료일충기우상소소기단증강적망락과건도상청석화산법。이용리산소파변환산법대도상진행거조처리，거제외계인소대도상조성적간우。이용상소기단능량적관점대도상진행증강처리，보증전체적동태도상적청석화。실험결과표명，저충산법제고료원정망락시빈교육동태도상적청석도。
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 pro-poses 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 interfer-ence. 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.