基于三维测量中的图像复原技术研究

Study on image restoration technique based on 3Dmeasurement

三维测量技术主要利用采集到的多幅图像以获取被测物体的形貌信息,然而在拍摄物体时所得到的图像质量会受到噪声干扰以及因为运动而产生模糊,因此影响到复原精度。基于图像退化的原理,针对物体的三维测量的图像复原技术主要分为去除噪声及去除模糊两部分。通过MATLAB应用了不同的去噪声及去模糊方法并得到了较为丰富的数据及结果,针对不同算法特性以及测试结果进行组合复原,以达到复原效果最大化。最后应用于实际拍摄获取的运动物体图片上,并使得图像质量提升。

Three-dimensional measurement technique mainly uses the collected images to obtain the topography information of the measured objects.However,the image quality obtained when shooting the objects is subject to noise interference and motion blur,in this way the accuracy of recovery is greatly affected.Based on the principle of image degradation,image restoration can be divided into noise removal and de-blurring.Different methods of de-noising and de-blurring are applied by Matlab and a lot of data and results are obtained.Different algorithms are combined to maximize the quality of images according to testing results.Finally the combination of algorithm is applied to the actual shot of picture,and the quality of image is improved.