Y Wang, H Feng, Z Xu, Q Li, C Dai, An improved Richardson-Lucy algorithm based on local prior. Opt. Laser Technol. 42(5), 845-849 (2010)Y. Wang, H. Feng, Z. Xu, Q. Li, and C. Dai, “An improved Richardson–Lucy
基于Matlab的五种模糊图像复原算法,包括:维纳滤波算法、约束最小二乘滤波算法、Richardson-Lucy(RL)算法、循环边界算法和最优窗算法。对图像进行运动模糊处理,基于模糊图像进行修复,并对修复后的结果计算信噪比。直观对比各算法优劣。程序已调通,可直接运行。, 视频
In this paper, we proposed a modified Richardson–Lucy (RL) non-blind deconvolution algorithm using adaptive reference maps, which could be very helpful to treat the detailed and smooth regions separately with different weights of constraint priors to suppress the ringing artifacts effectively as well...
Keywords:imagerestoration;deblurring;Richardson-Lucy(RL)algorithm;GainMap 摘要:针对传统的Richardson-Lucy(RL)算法存在振铃效应和噪声放大等问题,提出了一种基于RL的图像去模糊新算法,通过 在迭代过程中引入增益图(GainMap),降低了复原图像的对比度,阻止迭代过程振铃效应的传播和噪声的进一步放大。详细讨 ...
and the conventional Richardson-Lucy ( RL) deblurring algorithm was extended by using the blur model.This modified RL algorithm was refer to as the Projective Motion Richardson-Lucy( PMRL) algorithm. The experi-ments demonstrated that this model and algorithm were effective and it could performance...
提出了图像复原的改进RL正则化算法,有效抑制了复原图像中存在的振铃效应。实验结果表明,RL正则化算法 在模糊核的估计存在误差时,依然能够得到较好的图像复原效果。 【关键词】 图像复原;Richardson—Lucv正则化;平均结构相似度;运动模糊图像 AnAlgorithmofModifiedRichardson—LucyRegularizationApproach ...
Key words :image restoration ;deblurring ;Richardson-Lucy (RL )algorithm ;Gain Map 摘要:针对传统的Richardson-Lucy (RL )算法存在振铃效应和噪声放大等问题,提出了一种基于RL 的图像去模糊新算法,通过 在迭代过程中引入增益图(Gain Map ),降低了复原图像的对比度,阻止迭代过程振铃效应的传播和噪声的进一步放大...
Richardson–Lucy (RL) algorithmPoint spread function (PSF)Percent root mean square error (PRMSE)Structural similarity index (SSIM)We developed a new image-restoration method that incorporates the point spread function (PSF) into the simultaneous algebraic reconstruction technique (SART-PSF). ...
In our method, we perform two filtering steps with the Richardson-Lucy (RL) deconvolution. The advantage of this deconvolution algorithm over the Wiener filter is that it intrinsically accounts for the Poisson noise characteristic of the photon counting process in cameras. In our reconstruction ...
RL and Gradient Descent: the Additive Solution Yes there are, in fact there is one algorithm much beloved in Machine Learning called Batch Gradient Descent: it basically keeps going down the slope of the surface, like a bunch of ping pong balls until they stop at the bottom of the hill. ...