共查询到20条相似文献,搜索用时 187 毫秒
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针对点扩散函数估计(Point Spread Function,PSF)不准确导致在气动退化图像盲复原处理后易造成振铃效应的问题,提出了一种改进的PSF估计方法,并将之应用于气动退化图像的复原处理中。具体做法是:构建平移不变的非下采样小波变换(NSWT),从而使之更易于处理图像奇异信息;基于小波变换模极大值和点扩散函数方差之间的关系,提出基于冗余提升NSWT的PSF估计方法;最后,将之应用于气动退化图像的盲复原中进行仿真验证。实验结果表明,使用改进后的PSF估计方法复原后的图像振铃效应等伪像程度显著减轻,图像质量明显改善,从而验证了构建的平移不变NSWT及改进PSF估计方法的有效性。 相似文献
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气动光学效应发生于导弹在大气层中高超声速飞行的过程中,导弹头部的光学头罩与大气发生剧烈的摩擦,对目标图像产生图像传输干扰和热辐射干扰,产生图像模糊、抖动和偏移,对比度降低等气动光学退化效应.对高速导弹退化图像的仿真分为两部分:第一部分是对由高速气流引起的图像的模糊和抖动的仿真.第二部分是对由高速热流产生的图像对比度降低的气动热辐射退化的仿真.对第一部分气动退化图像的仿真,采用根据实际弹道参数(飞行高度,飞行速度,头罩半锥角,攻角)和几种不同流场条件下气动光传输模型模型相结合的方法.根据流场的速度,状态,将高速流场分为湍流场和层流场.根据气动参数和湍流流场光传输模型确定点扩展函数的大小,方差等参数.根据气动参数和层流流场光传输模型确定点扩展函数中心位置的抖动和偏移.实验表明,根据这种方法仿真的气动光学退化图像符合实际情况下不同飞行弹道参数图像的气动退化变化规律和退化程度,与直接数值模拟方法(Direct Numerical Simulations),大涡模拟方法(LarRe Eddy Simulation)等方法相比,适用范围更广,计算量大大降低,并且可以实现实时仿真序列气动退化图像.对第二部分气动热辐射退化图像的仿真,采用对热效应产生的各个过程进行分别仿真建模的方法.首先,对由于高速飞行,头罩与空气摩擦产生的温度场进行建模.利用飞行参数,如飞行高度,飞行马赫数,攻角和高速可压流体模型,计算出头罩表面温度场变化.再根据头罩的材质,厚度和热传导模型计算出头罩平均温度场.根据头罩平均温度场分布,发射率,探测器系统距离,通过普朗克公式得到温度场的辐射功率.最后,根据探测器的物理参数,可以将辐射功率转化为等效信号电压值,得到数字图像的气动热辐射退化灰度值和退化图像.对气动退化图像的处理,采用退化复原算法与实际弹道参数(飞行高度,飞行速度)相结合的方法.与以往的图像复原算法不同,采用的气动退化图像的复原算法利用了先验条件参数,如导弹的飞行高度,飞行马赫数.实验表明,利用这些条件参数,可以更有效、更准确地复原退化图像.结合实际气动弹道参数,实现了最大后验概率算法(MAP算法),总变分算法(TV算法),最大似然算法(ML算法)和相邻帧算法等算法,对气动退化图像进行复原,得到了较为准确和稳定的处理结果.与传统的复原算法相比,程序运行步骤数目减少,算法的处理速度大大提高,复原的准确性也得到了增强,并且可实现序列退化图像实时复原处理. 相似文献
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Blur identification by residual spectral matching 总被引:3,自引:0,他引:3
The estimation of the point spread function (PSF) for blur identification, often a necessary first step in the restoration of real images, method is presented. The PSF estimate is chosen from a collection of candidate PSFs, which may be constructed using a parametric model or from experimental measurements. The PSF estimate is selected to provide the best match between the restoration residual power spectrum and its expected value, derived under the assumption that the candidate PSF is equal to the true PSF. Several distance measures were studied to determine which one provides the best match. The a priori knowledge required is the noise variance and the original image spectrum. The estimation of these statistics is discussed, and the sensitivity of the method to the estimates is examined analytically and by simulations. The method successfully identified blurs in both synthetically and optically blurred images. 相似文献
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对单一图像进行运动模糊复原,存在模糊点扩散函数(PSF)难以估计以及图像反卷积的病态性问题。利用多个PSF具有联合可逆性的特点,针对运动目标观测,提出采用参数相同的多个成像设备共同对同一视场进行拍摄,来获取背景相同、曝光时间不同、目标模糊程度不同的观测图像;然后利用同一设备获取的序列图像进行目标的模糊PSF估计;并根据目标背景的运动模糊叠加特征,分别从观测图像中提取出完整的模糊目标图像;最后,对这些具有不同PSF的同一目标图像进行空间域迭代复原算式的联立求解。实验表明:该方法设计的目标获取装置对硬件条件要求较低,获取的图像更便于采用多点扩散函数联合进行图像复原,复原效果良好。 相似文献
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针对大气湍流退化图像复原问题,提出了一种基于各向异性和非线性规整化的总变分盲复原新算法,该算法主要结合图像和湍流点扩展函数的一些性质采用基于各向异性的空间自适应规整化处理,建立了具有非线性和空间各向异性的规整化函数,使其在恢复目标图像和估计点扩展函数时能自适应地进行梯度平滑。最后,通过交替最小化方案来极小化代价函数和通过定点迭代策略将非线性方程进行线性化处理,快速地估计点扩展函数和恢复图像。在微机上对数字模拟和实际退化图像进行了一系列恢复实验,验证了算法的有效性和稳健性。 相似文献
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A multi-frame blind restoration algorithm based on alternative maximum likelihood estimation using double loops is proposed to restore object images. An anisotropic regularization term is incorporated into the integral likelihood function to avoid over-smoothing of details of the restored images and improve the stability of image restoration. In order to make full use of the data relationship in the observed multi-frame images which contain the same objects with different point spread functions (PSF) in a short sequence, an iterative strategy based on double loops is employed in estimating the unknown different PSFs of the observed images. Experiments on synthetic and real turbulence-degraded images illustrate that the proposed algorithm is effective in restoring real turbulence-degraded images by using very few frames. 相似文献
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Due to the atmospheric turbulence and the system noise, images are blurred in the astronomical or space object detection. Wavefront aberrations and system noise make the capability of detecting objects decrease greatly. A two-channel image restoration method based on alternating minimization is proposed to restore the turbulence degraded images. The images at different times are regarded as separate channels, then the object and the point spread function (PSF) are reconstructed in an alternative way. There are two optimization parameters in the algorithm:the object and the PSF. Each optimization step is transformed into a constraint problem by variable splitting and processed by the augmented Lagrangian method. The results of simulation and actual experiment verify that the two-channel image restoration method can always converge rapidly within five iterations, and values of normalized root mean square error (NRMSE) remain below 3% after five iterations. Standard deviation data show that optimized alternating minimization (OAM) has strong stability and adaptability to different turbulent levels and noise levels. Restored images are approximate to the ideal imaging by visual assessment, even though atmospheric turbulence and systemnoise have a strong impact on imaging. Additionally, the method can remove noise effectively during the process of image restoration. 相似文献
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基于参数估计的降晰函数辨识及图像复原算法 总被引:3,自引:2,他引:1
成像系统的点扩展函数(PSF)以及观测噪声,在一般应用过程中是未知信息,因此,点扩展函数的辨识是一个具有挑战性的世界难题.为解决实际工作中遇到的在已知降晰类型情况下的降晰函数辨识和降晰图像复原问题,提出了基于参数估计的降晰函数辨识及降晰图像复原算法.首先,由初始猜测给定降晰函数参数的变化范围和参数的增量步长;然后,最小化降晰图像和由相应点扩展函数及降晰图像得到的实验观测图像的差的Frobenius范数,以确定点扩展函数的参数,进而确定降晰图像的点扩展函数并对降晰图像进行复原.应用基于Wiener滤波的频域循环边界算法对降晰图像进行复原.实验结果表明:在降晰图像信噪比较高的情况下,降晰函数的辨识结果是可靠和准确的,有较好的复原效果. 相似文献
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针对全景图像点扩散函数(PSF)空间移变的特点, 提出一种利用拉东(Radon)变换估计全景图像局部区域的PSF算法。算法首先分析全景成像 原理和PSF拉东变换与图像中模糊直线响应的关系; 然后利用有效的采样方法得到孤立的采样边缘,并通过求导得到图像边缘的直线响应;最后 利用采样信息 复原出PSF并结合Lucy-Richardson(L-R)算法对图像进行复原。同时采用迭代最优 化的估计算法解决 由于采样边缘较少导致PSF估计的不准确问题。实验表明,本文算法可以有效地估 计出全景图像不同区域的PSF,有很好的工程使用价值。 相似文献
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为了从有噪的湍流退化图像中有效地恢复出目标图像,提出了一种基于极大似然估计准则的规整化复原算法.根据图像随机场模型建立了有关多帧图像数据的对数似然函数,同时为了平滑噪声和保护图像边缘以及避免无价值的解,将一些合理的惩罚项和辅助平滑项融合到该对数似然函数中.推导出了湍流点扩展函数和目标图像的交替迭代求解公式,通过迭代方式可将点扩展函数和目标图像同时估计出来,给出了算法的并行处理方案.在微机上对强噪声条件下的湍流退化图像进行了恢复实验,实验结果表明本算法具有较强的抗噪能力和实用价值. 相似文献
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It is pointed out that to restore experimental computed tomography (CT) images which have been blurred by a spatially variant point spread function (PSF), a quadrant symmetry method which simultaneously optimizes storage requirements for the estimated PSFs and computational speed is used. The quadrant symmetry approach required less than 0.579 Megawords of storage for 9x9 pixel spatially variant PSFs in a 256x256 pixel image, allowing image restoration in Cartesian coordinates. A locally adaptive restoration method formulated using a noise prewhitening filter derived from the measured noise power spectrum, the conjugate gradient method was used to obtain a numerical solution. Restored images for a resolution phantom and for a cadaver femur are presented. 相似文献
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Blind image restoration by anisotropic regularization 总被引:16,自引:0,他引:16
This paper presents anisotropic regularization techniques to exploit the piecewise smoothness of the image and the point spread function (PSF) in order to mitigate the severe lack of information encountered in blind restoration of shift-invariantly and shift-variantly blurred images. The new techniques, which are derived from anisotropic diffusion, adapt both the degree and direction of regularization to the spatial activities and orientations of the image and the PSF. This matches the piecewise smoothness of the image and the PSF which may be characterized by sharp transitions in magnitude and by the anisotropic nature of these transitions. For shift-variantly blurred images whose underlying PSFs may differ from one pixel to another, we parameterize the PSF and then apply the anisotropic regularization techniques. This is demonstrated for linear motion blur and out-of-focus blur. Alternating minimization is used to reduce the computational load and algorithmic complexity. 相似文献