Video Frame Quality Assessment Using Points Calculation in High Dimensional Space

摘要

Video quality assessment is widely used for signal measure. Classic method is often use algebra method for make a compute model, such as PSNR, which often lead to difficult for alignment of video sequence number and it limit its application in real world. This paper presents a novel method bases on high dimensional space. The method considers a image as a point in high dimensional space and make correspond calculation. Firstly, it use special kernels to covering some image points from original image; then when a noised image is put into space, the method is performed to find the most similar one in high-dimensional space and gives its similarity. Experimental results show that the propose method make the measurement easily and meet the real noised image sequence. The proposed method is constructive and this work can provide a very useful method for video quality assessment model.