Image Quality Improvement of Motion-Blurred JPEG Image using Image Restoration Method

提出了一种改进运动模糊JPEG图像的方法。传统的正则化图像复原方法考虑了JPEG编解码过程模型、边缘方向模型和局部活动性模型。传统的正则化图像复原方法是从经过时间改进的图像中提取边缘方向，该方法不考虑JPEG编解码过程。计算机仿真结果表明了该方法的有效性。在对过程进行改进之前，运动模糊参数是必需的。但是运动模糊参数的估计比较困难，因此本文提出了一种改进的运动模糊JPEG图像的运动模糊参数估计方法。通过对改进的运动模糊JPEG图像应用测量差分滤波，改进的运动模糊JPEG图像的评价值是输出图像的光谱偏斜度。改进的运动模糊JPEG图像的上述评估值既基于测量微分滤光器类似于白化滤光片的想法，也基于通过测量微分滤光片使适当改善的图像为白色的想法。计算机仿真结果表明，改进后的运动模糊JPEG图像的评价值与原始图像的均方误差基本一致。

A method of improving motion-blurred JPEG image is proposed. The model about JPEG coding / decoding process, edge orientation and local activity are taken into account to conventional regularized image restoration method. Edge orientation is extracted from temporally improved image by conventional regularized image restoration method in which the JPEG coding / decoding process is not taken into account. The result of computer simulation shows effectiveness of this proposed method.Before improving process, the parameter of motion-blur is necessary. But estimating the parameter of motion-blur is difficult Therefore instead of estimating the parameter of motion-blur, evaluating the improved motion-blurred JPEG image is proposed. The evaluation value of the improved motion-blurred JPEG image is the skewness of the spectrum for the output image by applying measurement differentiating filter to the improved motion-blurred JPEG image. The above evaluation value of the improved motion-blurred JPEG image is based on both the idea that the measurement differentiating filter acts like the whitening filter, and the idea that suitably improved image is made to be white by the measurement differentiating filter. The result of computer simulation shows that the proposed evaluation value of the improved motion-blurred JPEG image acts like mean square error between the original image and improved motion-blurred JPEG image.