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Bilayer Blind Deconvolution with the Light Field Camera

Meiguang Jin, Paramanand Chandramouli, Paolo Favaro
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
In this paper we propose a solution to blind deconvolution of a scene with two layers (foreground/background).  ...  As a solution we propose to use a light field camera. We demonstrate that a single light field image captured with a Lytro camera can be successfully deblurred.  ...  This is the first attempt in blind deconvolution of light field images. 2.  ... 
doi:10.1109/iccvw.2015.36 dblp:conf/iccvw/JinCF15 fatcat:7toss4jt7zhjbd6scqyuwkh43i

Calibration of Wide-Field Deconvolution Microscopy for Quantitative Fluorescence Imaging

Ji-Sook Lee, Tse-Luen (Erika) Wee, Claire M. Brown
2014 Journal of Biomolecular Techniques  
Deconvolution enhances contrast in fluorescence microscopy images, especially in low-contrast, highbackground wide-field microscope images, improving characterization of features within the sample.  ...  InSpeck Green calibration microspheres were prepared for imaging, z-stacks were collected using a wide-field microscope, and the images were deconvolved using the iterative deconvolution algorithms with  ...  Intensity and volume data are presented for original wide-field data, iterative deconvolution data, and iterative blind deconvolution data.  ... 
doi:10.7171/jbt.14-2501-002 pmid:24688321 pmcid:PMC3942261 fatcat:64xgfvsuezhixoxhzjef4ax6cu

BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT

C. Zelenka, R. Koch
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
<br><br> In this paper we propose the compensation of defocus and motion blur in underwater images by using blind deconvolution techniques.  ...  Camera based bubble measurement systems suffer from defocus blur caused by a combination of small depth of field, insufficient lighting and from motion blur due to rapid bubble movement.  ...  In recent years significant progress in the field of blind deconvolution has been made (Levin et al., 2011) .  ... 
doi:10.5194/isprsarchives-xl-5-w5-239-2015 fatcat:b27c4bud4be3zctyx5gstdb77e

Randomized Aperture Imaging [article]

Xiaopeng Peng, Garreth J. Ruane, Grover A. Swartzlander Jr
2016 arXiv   pre-print
Speckled images of a binary broad band light source (600-670 nm), generated by randomized reflections or transmissions, were used to reconstruct a binary image by use of multi-frame blind deconvolution  ...  blind deconvolution scheme improves the ratio to N + 1 : N .  ...  reconstruction results of multi-frame blind deconvolution applied to a numerically simulated far field sequence and a near field sequence respectively(monochromatic).  ... 
arXiv:1601.00033v1 fatcat:274pylnu55bundjkmrvejas3ny

Single-shot blind deconvolution with coded aperture [article]

Hideyuki Muneta, Ryoichi Horisaki, Yohei Nishizaki, Makoto Naruse, Jun Tanida
2022 arXiv   pre-print
In this paper, we present a method for single-shot blind deconvolution incorporating a coded aperture (CA).  ...  In this method, we utilize the CA, inserted on the pupil plane, as support constraints in blind deconvolution.  ...  This means that the pinholes on the CA are very sparsely Blind deconvolution is a category of deconvolution methods arranged; hence the light  ... 
arXiv:2201.06267v1 fatcat:6c2xekea6zdl5e77aqowmqruiq

Deconvolution for Enhancement of Biological Images Obtained by Fluorescence Microscopy

2019 International journal of recent technology and engineering  
Our study analysed various fluorescence images, after the nuclei segmentation of the images, by both Deblurring (Blind Deconvolution, Lucy Richardson and Wiener filtering) and Restoration algorithms (Inverse  ...  filtering and Regularised filtering), which are the two main categories of deconvolution methods, in MATLAB 2016b.  ...  The advantage of blind deconvolution lies in the fact that it can determine both microscopic PSF and 3-D image simultaneously [26] .The Blind deconvolution is based on Lucy Richardson algorithm which  ... 
doi:10.35940/ijrte.b2851.118419 fatcat:ybgkft7mpfdm3mnajx56er3v5i

Guidelines for Adapting Light Microscopy Deconvolution Methods to 3D Biological STEM

B Northan, R Sougrat, N de Jonge
2009 Microscopy and Microanalysis  
We discuss modification of the Expectation-Maximization deconvolution procedure originally developed for light microscopy [2], and its subsequent application to 3D STEM.  ...  A similar effect occurs in widefield fluorescence light microscopy, where the effect is corrected for by applying a deconvolution algorithm, of which several variants exist.  ...  A comparison between three variations of the algorithm was performed, i.e., deconvolution using the measured PSF, deconvolution using a theoretically generated PSF, and blind deconvolution.  ... 
doi:10.1017/s1431927609093532 fatcat:yldorvm3dffrxa67s5hmmtfplq

Optical Aberration Correction via Phase Diversity and Deep Learning [article]

Anitha Priya Krishnan, Chinmay Belthangady, Clara Nyby, Merlin Lange, Bin Yang, Loic Alain Royer
2020 bioRxiv   pre-print
We find that our blind deconvolution achieves a 2-fold improvement in frequency support compared to input images, and our phase-estimation achieves a coefficient of determination (r^2) of at least 80%  ...  Our model consists of two modules which take in a set of three phase-diverse images and (i) estimate the wavefront phase in terms of its constituent Zernike polynomial coefficients and (ii) perform blind-deconvolution  ...  As shown in Spatially-variant blind deconvolution. In-toto live imaging of developing embryos involves imaging large fields of view of up to 800 µm.  ... 
doi:10.1101/2020.04.05.026567 fatcat:a2tqsspebved5dbdc2mwib2yie

Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects [chapter]

Chika Inoshita, Yasuhiro Mukaigawa, Yasuyuki Matsushita, Yasushi Yagi
2014 Lecture Notes in Computer Science  
Based on this observation, we cast the photometric stereo problem for optically thick translucent objects as a deconvolution problem, and develop a method to recover accurate surface normals.  ...  We are interested in investigating a good prior for surface normal fields that may potentially improve the blind deconvolution.  ...  Figures 4 and 5 show results of conventional non-blind deconvolution and blind deconvolution for scene B, respectively.  ... 
doi:10.1007/978-3-319-10605-2_23 fatcat:dpu6mq7tuncjziqnxjepltbimq

Page 699 of Astronomy and Astrophysics Vol. 282, Issue 2 [page]

1994 Astronomy and Astrophysics  
Likewise, objects close to the boundary of the detector, but outside of the field of view, may contaminate the image. The blind deconvolution method is adapted to deal with these situations.  ...  Astrophys. 282, 699-708 (1994) ASTRONOMY AND ASTROPHYSICS Iterative blind deconvolution method using Lucy’s algorithm F. Tsumuraya *, N. Miura, and N.  ... 

Blind deconvolution with PSF regularization for wide-field microscopy

Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger
2012 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)  
With this very general kernel regularization term, we can stabilize the blind MLEM scheme even for the deconvolution of wide-field microscopic recordings.  ...  We propose to use a kernel intensity penalizer (KIP) in the blind maximum likelihood expectation maximization (MLEM) deconvolution scheme.  ...  The disadvantage of wide-field recordings is the large amount of recorded defocused light that makes a deconvolution of the data indispensable for many applications.  ... 
doi:10.1109/isbi.2012.6235799 dblp:conf/isbi/KeuperTPHBBR12 fatcat:3r7yxkvot5clhll5frvrwv3pbu

A survey on image deblurring

A. Mahalakshmi, B. Shanthini
2016 2016 International Conference on Computer Communication and Informatics (ICCCI)  
Short shutter speed is used to produce a clear image with the limited light. Non blind deconvolution and blind convolution are the two different types of image deconvolution problem.  ...  solve multi-image blind deconvolution.  ...  Image Intensity Intensity images measure the amount of light impinging on a photosensitive device. It is used to calculate the color intensity of each feature on the multi image blind convolution.  ... 
doi:10.1109/iccci.2016.7479956 fatcat:dswfqan5e5d6jhm7wjw2f6yiha

Richardson-Lucy Deblurring for Moving Light Field Cameras [article]

Donald G. Dansereau, Anders Eriksson, Jürgen Leitner
2017 arXiv   pre-print
We expect extension to blind methods to be possible following the generalization of 2-D Richardson-Lucy to blind deconvolution.  ...  We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur.  ...  [3] address blind deconvolution of light fields with decimated spatial sampling.  ... 
arXiv:1606.04308v2 fatcat:ttr5vtb2lnbebnbp2y5d4q36qy

Optimal PSF Estimation for Simple Optical System Using a Wide-Band Sensor Based on PSF Measurement

Yunda Zheng, Wei Huang, Yun Pan, Mingfei Xu
2018 Sensors  
The blind estimation of PSFs relies heavily on the information in the image. Measured PSFs are often misused because real sensors are wide-band.  ...  Then, we simulate PSFs in the wavelength pass range of each color channel all over the field. The optimal PSFs are computed according to these simulated PSFs.  ...  Blind deconvolution estimates PSFs from blurred images directly. In principle, blind estimation will not have the problem of misusing PSFs owing to wide-band sensors.  ... 
doi:10.3390/s18103552 fatcat:awrbsfabmvaqxmxt6qlt76rmqi

Richardson-Lucy Deblurring for Moving Light Field Cameras

Donald G. Dansereau, Anders Eriksson, Jurgen Leitner
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We expect extension to blind methods to be possible following the generalization of 2-D Richardson-Lucy to blind deconvolution.  ...  We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur.  ...  [3] address blind deconvolution of light fields with decimated spatial sampling.  ... 
doi:10.1109/cvprw.2017.225 dblp:conf/cvpr/DansereauEL17 fatcat:a3vk2ralovcsrcwyywyvczvixq
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