Restoration of Blur video using Blind Deconvolution Method

B. K. Sangareddy, T. K. Manasa, B. Lakshmi, B. Harshini, K. Kavya
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Abstract

Instability in the atmosphere and incompatibility camera settings leads to blurring of video. Blur of a video is due to the motion of subjects during capturing, quality of lens and improper holding of the camera. The IR cameras usually have a low resolution mostly 160x120 and 320x240 for technical reasons. In this case Image Processing is one of the boons for business, engineering, forensics and medical field to extract the required values from the image data. To resolve this, we introduce an effective method to deblur low resolution videos. First, Blind Deconvolution method is applied to low resolution frames. Then, restored gray frames are converted into RGB images and write each RGB frame into the video object to make a video. The experimental results depict a high resolution video which is the sharpen form of low resolution video.
用盲反卷积法恢复模糊视频
大气不稳定和相机设置不兼容导致视频模糊。视频的模糊是由于拍摄过程中拍摄对象的运动、镜头质量和相机握持不当造成的。由于技术原因,红外摄像机通常具有较低的分辨率,主要是160 × 120和320 × 240。在这种情况下,图像处理是商业、工程、法医和医学领域从图像数据中提取所需值的福音之一。为了解决这个问题,我们引入了一种有效的方法来消除低分辨率视频的模糊。首先,将盲反卷积方法应用于低分辨率帧。然后将恢复后的灰度帧转换为RGB图像,并将每一帧RGB图像写入视频对象中,形成视频。实验结果描绘了一个高分辨率视频,它是低分辨率视频的锐化形式。
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