The Richardson–Lucy deconvolution algorithm was applied to astronomical images in the very high-energy regime with photon energies above 100GeV. Through a systematic study with respect to source significance, background level and source morphology we were able to derive optimal deconvolution parameters...
Variations on the multiplicative algorithm are how Richardson-Lucy deconvolution is implemented in many commercial packages today because it tends to converge faster. In many cases the varies considerably throughout the field of view and it is not known precisely. So in photographic applications it is...
Use thedeconvlucyfunction to deblur an image using the accelerated, damped, Lucy-Richardson algorithm. The algorithm maximizes the likelihood that the resulting image, when convolved with the PSF, is an instance of the blurred image, assuming Poisson noise statistics. This function can be effective ...
added one function in functional.py and one class in transforms.py file of RL (RichardsonLucy) deconvolution algorithm. the using test or example for it is given in functional.py file in documentation section. added richardson_lucy deconvolution algorithm to functional.py and tr… … 60fad69 ...
We implement the Richardson-Lucy algorithm to deconvolve the set of Oj,m images with the PSF of the imaging system prior to solving equation (2). Additionally, this initial deconvolution diminishes the weighting effect of the OTF and enhances the detection of the peak resulting from the cross-...
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...
The number of times to iterate the deconvolution algorithm. flags The options to use when performing the operation. If your code implements its own tiling or its own multithreading, pass kvImageDoNotTile. Pass one of the following flags to specify how vImage handles pixel locations beyond the ...
I am trying to understand the Lucy-Richardson algorithm implementation in MATLAB, specifically if there is any thresholding being performed as a post-processing step?. I was able to implement a working algorithm, however, there were some contrast differences between my output and MATLAB output...
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...
Matlab has a couple of deconvolution functions that use direct filtering (regularized filter and Weiner filter), which do not yield satisfactory results. MatLab has also the Lucy-Richardson (LR) iterative algorithm that, in my case, does a good job in deblurring the image (judged visually). ...