CAJ | 학술논문

目前多数视频质量评价算法将视频所有帧的图像质量平均值作为整个视频的质量，但该方式只考虑空间图像质量，忽略视频固有时域上的特性，因而无法准确地描述客观视频质量评价和主观评价的相关性。为此，结合视频的时域特性，提出一种改进的视频质量评价算法。该算法将视频帧图像分为边缘区域与平滑区域，分别对2个区域进行小波变换，并利用小波系数求得各个区域视频帧的图像质量度量值，进行加权后得出视频单帧图像质量的度量值，对连续单帧图像进行时域融合，从而求得整个视频的质量度量值。在LIVE视频数据库上的实验结果表明，该算法与人类主观评价结果具有较好的一致性，斯皮尔曼相关系数达到0.7885。
목전다수시빈질량평개산법장시빈소유정적도상질량평균치작위정개시빈적질량，단해방식지고필공간도상질량，홀략시빈고유시역상적특성，인이무법준학지묘술객관시빈질량평개화주관평개적상관성。위차，결합시빈적시역특성，제출일충개진적시빈질량평개산법。해산법장시빈정도상분위변연구역여평활구역，분별대2개구역진행소파변환，병이용소파계수구득각개구역시빈정적도상질량도량치，진행가권후득출시빈단정도상질량적도량치，대련속단정도상진행시역융합，종이구득정개시빈적질량도량치。재LIVE시빈수거고상적실험결과표명，해산법여인류주관평개결과구유교호적일치성，사피이만상관계수체도0.7885。
Most video quality algorithms regard the average of all the frames of the video image quality as the quality of the video,but these methods only take the quality of the spatial image into account,ignoring the inherent characteristics of the video on the temporal domain, therefore can not accurately describe the relevance of the objective video quality assessment and subjective video quality assessment. Thinking about temporal domain characteristics of video,this paper proposes a video quality assessment algorithm based on wavelet domain and temporal domain. The image of the video is divided into the smooth region and the edge region. The two regions are applied with wavelet transform to obtain the wavelet coefficients of each region of a video frame. The frame quality is obtained by weighting the two parts of the frame. The temporal pooling is adopted to obtain the quality of the video. Experimental results on LIVE video database show that this algorithm and human subjective evaluation results have a good consistency, and Spearman Rank Order Correlation Coefficient(SROCC) value reaches 0. 788 5.