利用视觉特征进行Motion JPEG2000低频子带重构

Reconstruct the Low-Frequency Sub-band in Motion JPEG2000 Coding Based On the Visual Characteristic

提出了一种针对Motion JPEG2000低频子带完全受损情况下的错误掩盖算法,该算法对高频图像应用Sobel算子进行图像锐化;随后利用视频序列的时间域相关性,运动估计判断参考帧与受损帧之间物体运动剧烈程度,利用参考帧的低频信息,对受损帧依据其运动剧烈程度分别进行运动补偿处理或低频子带代替处理。该算法计算量小,适合实时应用,且充分考虑视觉特点,对部分运动估计结果进行变换尺度后的验证,实验结果表明其恢复的图像符合人眼主观感受。

An error concealment algorithm for a totally destroyed low-frequency sub-band in Motion JPEG2000 coding is proposed in this paper. Firstly, it applies the sobel operator to a high-frequency image to outline the objects. According to the correlation between those video frames, it then utilizes the temporal information to judge the motion vector between the reference frame and the destroyed one. Under the consideration of motion vector, motion compensation or replacement is used to reconstruct the damaged low-frequency sub-band with the aid of the reference frame＇ s data. The proposal method is low complexity and thus suitable for real time application. It takes the human visual characteristics into consideration and verifies parts of the result of motion estimation by changing the block size. Simulations indicate that the reconstructed frames have high subjective visual performance.