Fast measurement of temporal noise of digital camera's photosensors

Cheremkhin, Pavel A.; Evtikhiev, Nikolay N.; Krasnov, Vitaly V.; Rodin, Vladislav G.; Starikov, Rostislav S.; Starikov, Sergey N.

doi:10.1117/12.2194979

Cited by 9 publications

(1 citation statement)

References 30 publications

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“…Noise parameters are typical for optical experiments, including digital camera noise values [77,78]. The hologram with noise H N (x,y) overlaid is defined as follows:…”

Section: Numerical Experimentsmentioning

confidence: 99%

An optical-digital method of noise suppression in digital holography

Cheremkhin

Evtikhiev²,

Kozlov³

et al. 2022

J. Opt.

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Digital holography is widely used for the fast and accurate reconstruction of objects and 3D-scenes characteristics: intensity, depth locations, density, temperature, refractive index, etc. There are various types of noise in digital holography, including speckle noise, zero order and twin image, camera shot noise and fixed-pattern noise. Therefore, additional hologram processing is required to obtain a high-quality reconstructed image. This paper proposes an optical-digital method of noise suppression in digital holography. First, a set of uncorrelated holograms is registered. The reconstructed images are treated as a 3D array, to which a 3D filter is then applied. A 3D median filter is used in this study; however, other 3D filters based on weighted average can be utilized also. The proposed method was verified using computer-generated and optically registered digital Fresnel holograms. Even with a small number of images, the method significantly improves the quality: the normalized standard deviation was decreased by up to 3-10 times and speckle contrast was reduced by more than six times. Registration of only ten holograms is sufficient to obtain a quality close to the maximum. The flexibility of the proposed method allows for varying the ratio of the reconstruction quality to the processing time.

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“…Noise parameters are typical for optical experiments, including digital camera noise values [77,78]. The hologram with noise H N (x,y) overlaid is defined as follows:…”

Section: Numerical Experimentsmentioning

confidence: 99%

An optical-digital method of noise suppression in digital holography

Cheremkhin

Evtikhiev²,

Kozlov³

et al. 2022

J. Opt.

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Estimation of the Efficiency of Digital Camera Photosensor Noise Measurement Through the Automatic Segmentation of Non-Uniform Target Methods and the Standard EMVA 1288

et al. 2021

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This paper discusses the problem of characterizing digital cameras and the determination of their noise characteristics, which is relevant for contemporary photographic equipment. The issues of limiting the accuracy of data obtained with digital cameras, related to the photosensor noise, are also highlighted. The European Machine Vision Association standard EMVA 1288 for measurement and presentation of specifi cations for machine vision sensors and cameras, and fast automatic segmentation of non-uniform target (ASNT) noise estimation methods are compared. The noise characteristics of the photosensors of the machine vision camera PixeLink PL-B781F, scientifi c camera Retiga R6, and amateur camera Canon EOS M100 are investigated. The accuracies of the measurement results and speed of calculation and the method implementation are also analyzed. The assessment of the temporal noise revealed that the ASNT method is not inferior in terms of accuracy compared to the standard method and can be implemented signifi cantly faster, even with additional images taken into account for accuracy improvement.

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