Photon Transfer

Janesick, James R.

doi:10.1117/3.725073

Cited by 292 publications

(223 citation statements)

References 0 publications

Supporting

Mentioning

219

Contrasting

Order By: Relevance

“…First, it uses the more reasonable assumption; the affinity of intensity-variance relationship in the input domain. We derive this relationship from the nature of photon (electron) noise [18,19]. Second, the proposed method uses only noise variances rather than noise profiles, therefore it only requires less amount of information about noise.…”

Section: Proposed Methodsmentioning

confidence: 99%

Estimating Radiometric Response Functions from Image Noise Variance

Takamatsu

Matsushita

Ikeuchi

2008

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. We propose a method for estimating radiometric response functions from observation of image noise variance, not profile of its distribution. The relationship between radiance intensity and noise variance is affine, but due to the non-linearity of response functions, this affinity is not maintained in the observation domain. We use the nonaffinity relationship between the observed intensity and noise variance to estimate radiometric response functions. In addition, we theoretically derive how the response function alters the intensity-variance relationship. Since our method uses noise variance as input, it is fundamentally robust against noise. Unlike prior approaches, our method does not require images taken with different and known exposures. Real-world experiments demonstrate the effectiveness of our method.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

Estimating Radiometric Response Functions from Image Noise Variance

Takamatsu

Matsushita

Ikeuchi

2008

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In optics and electronics, the quantized nature of light and charge makes a photon or electron flux obey this Poisson process. The photon incidence obeys so accurately to the Poisson distribution that it can be used to characterize photosensors [52] and particularly CIS. …”

Section: Photon Shot Noisementioning

confidence: 99%

“…The variance versus average output signal curve is called the photon transfer curve (PTC) [52]. From this curve, the conversion gain A CG is measured as the slope of its linear part.…”

Section: Photon Shot Noisementioning

confidence: 99%

“…In order to measure the conversion gain of the readout chain, the photon transfer curve (PTC) measurement technique is used [52]. Fig.…”

Section: Conversion Gain Measurementmentioning

confidence: 99%

“…In order to measure the conversion gain, the photon transfer curve (PTC) method [52] is used. The photon shot noise dominates the readout noise when the pixel receives an amount of photons between the noise floor and saturation.…”

Section: Conversion Gain Measurementmentioning

confidence: 99%

See 2 more Smart Citations

Ultra Low Noise CMOS Image Sensors

Boukhayma

2018

Springer Theses

View full text Add to dashboard Cite

Visible Light Communications (VLC) Technology

Ndjiongue

Ferreira

Ngatched

2015

Wiley Encyclopedia of Electrical and Electronics Engineering

View full text Add to dashboard Cite

This article reviews the visible light communications (VLC), a technology in which the visible spectrum is modulated to transmit data. It presents the VLC communication system: the transmitter, the channel, and the receiver. The single and multichannel transceivers are presented. The channel for a system that uses a single light‐emitting diodes (LED) and the matrix representing the multicolor channel are discussed. Various modulation schemes, basic techniques used to implement a VLC system, and different causes of dimming are discussed. In addition, standardization of the VLC technology, applications, as well as challenges for VLC practical implementation and commercialization are reviewed.

show abstract

Photon Transfer

Cited by 292 publications

References 0 publications

Estimating Radiometric Response Functions from Image Noise Variance

Estimating Radiometric Response Functions from Image Noise Variance

Ultra Low Noise CMOS Image Sensors

Visible Light Communications (VLC) Technology

Contact Info

Product

Resources

About