单幅图像盲去运动模糊研究

发布时间：2018-05-07 07:28

本文选题：图像盲去运动模糊 + 二阶梯度　；参考：《华东师范大学》2017年硕士论文

【摘要】：图像是人类传递信息的重要媒介,在人们的日常生产生活中广泛应用。然而,在图像拍摄过程中容易发生成像设备与目标对象间的相对运动,造成拍摄的图像模糊不清,严重制约图像的使用。图像去运动模糊的目的是用一定数值化方法,从退化的模糊图像中恢复出清晰的图像。图像去运动模糊是图像处理领域的重要分支,特别是近年来人工智能的兴起,对其进行研究有极其重要的科研价值和现实意义。图像去运动模糊问题可以分为两种类型:事先可以确定模糊核的非盲去运动模糊和事先不能确定模糊核的盲去运动模糊。模糊核未知的图像盲去运动模糊问题,由于其未知量远大于已知量,具有严重的不适定性,求解极其困难。但是大多数的运动模糊图像模糊核都是未知的,因此对图像盲去运动模糊问题进行研究很有必要。本文聚焦于单幅图像的盲去运动模糊问题,主要工作包括以下几个方面:(1)通过对图像运动模糊成因的总结,基于对自然图像统计特征的分析,本文首次提出将图像二阶梯度特征应用于图像盲去运动模糊领域。在前人研究的基础上,本文提出一种基于图像二阶梯度归一化l1范数稀疏先验的自然图像盲去运动模糊方法,并且给出一种有效的快速求解算法。(2)由于特殊图像,如文本图像,并不符合一般自然图像的统计特征,往往需要单独设计相应的去运动模糊方法。通过对自然图像和特殊图像特征的分析,本文又提出一种对自然图像和特殊图像都有效的,基于图像二阶梯度和暗通道稀疏先验的图像盲去运动模糊方法。我们用一系列的实验验证本文方法的有效性,并与其它现有方法做比较。实验结果表明,本文的方法能够有效去除图像运动模糊,提升图像的复原质量。本文的工作对自然图像和特殊图像的盲去运动模糊问题做出了相应的改进。
[Abstract]:Image is an important medium for human to transmit information, which is widely used in people's daily production and life. However, the relative motion between the imaging equipment and the target object is easy to occur in the process of image capturing, which results in the blurred image, which seriously restricts the use of the image. The purpose of image demotion blur is to restore the clear image from the degraded blurred image by a certain numerical method. Image demotion blur is an important branch in the field of image processing, especially the rise of artificial intelligence in recent years, the research on it has extremely important scientific research value and practical significance. The problem of image demotion blur can be divided into two types: the non-blind deblurring of the blur kernel can be determined in advance and the blind deblurring of the blur kernel can not be determined in advance. Because the unknown unknowns of image demotion blur problem is much larger than the known one, it is very difficult to solve the problem because of its serious ill-posed nature. However, most of the motion-blurred image blur cores are unknown, so it is necessary to study the image blind motion blur problem. This paper focuses on the blind motion blur of a single image. The main work includes the following aspects: 1) based on the analysis of the statistical features of natural images, the causes of motion blur are summarized. In this paper, the second order gradient feature of image is applied to the field of blind motion blur for the first time. On the basis of previous studies, this paper proposes a blind deblurring method for natural images based on image second-order gradient normalization L _ 1-norm sparse priori, and gives an efficient and fast algorithm to solve motion blur for special images, such as text images. Because it does not accord with the statistical characteristics of general natural images, it is often necessary to design the corresponding de-motion blur method separately. By analyzing the features of natural and special images, this paper proposes a blind motion blur method based on image second-order gradient and dark channel sparse priori, which is effective for both natural and special images. We use a series of experiments to verify the effectiveness of this method and compare it with other existing methods. Experimental results show that the proposed method can effectively remove image motion blur and improve image restoration quality. In this paper, the blind deblurring problem of natural and special images is improved.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.41

【参考文献】