Cross-color BM3D filtering of noisy raw data

Danielyan, Aram; Vehviläinen, Markku; Foi, Alessandro; Katkovnik, Vladimir; Егиазарян, Карен

doi:10.1109/lnla.2009.5278395

Cited by 43 publications

(35 citation statements)

References 11 publications

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“…To address these disadvantages, some denoising methods have been directly used with the CFA [30,31,32], as shown in Figure 1c. In the proposed approach, a denoising algorithm is also performed in the CFA pattern before the demosaicing process, as shown in Figure 1c.…”

Section: Introductionmentioning

confidence: 99%

Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation

Lee

Kang

2017

Sensors

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In this paper, a spatio-spectral-temporal filter considering an inter-channel correlation is proposed for the denoising of a color filter array (CFA) sequence acquired by CCD/CMOS image sensors. Owing to the alternating under-sampled grid of the CFA pattern, the inter-channel correlation must be considered in the direct denoising process. The proposed filter is applied in the spatial, spectral, and temporal domain, considering the spatio-tempo-spectral correlation. First, nonlocal means (NLM) spatial filtering with patch-based difference (PBD) refinement is performed by considering both the intra-channel correlation and inter-channel correlation to overcome the spatial resolution degradation occurring with the alternating under-sampled pattern. Second, a motion-compensated temporal filter that employs inter-channel correlated motion estimation and compensation is proposed to remove the noise in the temporal domain. Then, a motion adaptive detection value controls the ratio of the spatial filter and the temporal filter. The denoised CFA sequence can thus be obtained without motion artifacts. Experimental results for both simulated and real CFA sequences are presented with visual and numerical comparisons to several state-of-the-art denoising methods combined with a demosaicing method. Experimental results confirmed that the proposed frameworks outperformed the other techniques in terms of the objective criteria and subjective visual perception in CFA sequences.

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Section: Introductionmentioning

confidence: 99%

Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation

Lee

Kang

2017

Sensors

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“…In one case, for example, the analysis of the morphological cell data of hippocampal slices of the brain of rodents, other experiments in vivo depending on the design using the full-sphere of the virtual reality or, for example, in the form of a cylindrical hover platform. Working with selected methods require both of hightechnology equipment availability and knowledge and skills to applying non-trivial mathematical algorithms for control two-photon microscopy system [1] and for wellformed data analysis [2], [3]. Two-photon microscopy offers several advantages compared with other forms of microscopy.…”

Section: Introductionmentioning

confidence: 99%

Design and building of modern two-photon laser scanning microscope for using in neuroscience

Doronin

Popov

2016

MATEC Web Conf.

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Abstract.One of the main visualization method in neuroscience is two-photon microscopy. However, scientists need to upgrade their microscopy system so regular because they are interested to get more specific data. Also this is due to the fact that this technique allows to obtain 3D images of tissues due to laser focus change, that is possible due to substantially greater penetration depth on the main wavelength into biological tissues. Self-developed microscopy system allow to modify the construction of microscope in not-complicated manner depending on specialized experimental models and scientific tasks. This work is small attempt to help researchers who are interested to build their own two-photon laser scanning microscope for using in neuroscience. The work was performed with financial support of the government represented by the Ministry of Education and Science of the Russian Federation, the unique identifier of the project is RFMEFI57814X0079, the agreement on granting a subsidy №14.578.21.0079 dated 28.11.2014.

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“…In 2009, YiFei Lou et al introduced NL method into RL algorithms [7]. In 2011, through the analysis and synthesis methods, Aram et al transferred fuzzy image restoration problems with noise into to the associated fuzzy and denoising problems [8,9], made BM3D and other denoising methods can be directly used in noise image fuzzy, and achieved obvious effects. But the current recovery methods are mostly based on the assumption of blurred images having moved the same nature, so it is difficult to effectively recover signals with noise for radial blur this shift becomes blurred image.…”

Section: Introductionmentioning

confidence: 99%

Noisy Radial-blurred Images Restoration Using the BM3D Frames

Chonglun¹,

Liu²,

Yang³

2014

TOCSJ

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BM3D frames based formulation provides new perspectives for the use of BM3D modeling in the circular shift-invariant reconstruction, but cannot be applied in the non-variant reconstruction. In order to solve this problem, a radial blur physical model was established, in this paper rectangular block replaced sector block in rectangular coordinate image, the matching area and restoration coefficient regulation were established to improve the BM3D frames and to complete the radial image restoration. The results show that the sector block was matching in neighbor area, the radial blur image can be effectively recovered, and the effect is obviously better than RL-NL and RL-TV methods or other restoration methods.

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Cross-color BM3D filtering of noisy raw data

Cited by 43 publications

References 11 publications

Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation

Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation

Design and building of modern two-photon laser scanning microscope for using in neuroscience

Noisy Radial-blurred Images Restoration Using the BM3D Frames

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