Process simulation in digital camera system

Toadere, Florin

doi:10.1117/12.922605

Cited by 1 publication

(4 citation statements)

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“…2,3 The merging method uses an algorithm which produces, in the resulting image, an average of the pixels obtained from all the exposures. In photography, the high dynamic-range images (HDRI) are obtained by capturing multiple images of the same scene during the same integration time and, then, merging them into an HDRI.…”

Section: Pps Cmos High Definitionmentioning

confidence: 99%

“…[1][2][3]12,14,21 The spatial sampling rate of the CMOS image sensor is that of the Bayer CFA (Fig. A consecrated CFA is the Bayer pattern which uses the three additive primary colors which are red, green and blue.…”

Section: Bayer Cfamentioning

confidence: 99%

“…Having these data sets, it is possible to compute the 3 × 3 transformation that maps the linear intensity of the display r, g, b signals into the cone absorptions l, m, s. 2,3 Since the light intensity of the LED varies linearly depending on the applied voltage. it is expected that the gamma function is also linear.…”

Section: Color Correctionmentioning

confidence: 99%

“…3 Some time on the display, the hues of the color of the rendered image is not sufficient. The saturation of a color is determined by a combination of light intensity and how much of it is distributed across the spectrum of different wavelengths.…”

Section: Color Saturationmentioning

confidence: 99%

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Simulating the functionality of a digital camera pipeline

Toadere

2013

Opt. Eng

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The goal of this paper is to simulate the functionality of a digital camera system. The simulations cover the conversion from light to numerical signal, color processing, and rendering. A spectral image processing algorithm is used to simulate the radiometric properties of a digital camera. In the algorithm, we take into consideration the spectral image and the transmittances of the light source, lenses, filters, and the quantum efficiency of a complementary metal-oxide semiconductor (CMOS) image sensor. The optical part is characterized by a multiple convolution between the different point spread functions optical components such as the Cooke triplet, the aperture, the light fall off, and the optical part of the CMOS sensor. The electrical part consists of the Bayer sampling, interpolation, dynamic range, and analog to digital conversion. The reconstruction of the noisy blurred image is performed by blending different light exposed images in order to reduce the noise. Then, the image is filtered, deconvoluted, and sharpened to eliminate the noise and blur. Next, we have the color processing and rendering blocks interpolation, white balancing, color correction, conversion from XYZ color space to LAB color space, and, then, into the RGB color space, the color saturation and contrast.Subject terms: optical system spectral and resolution analysis; complementary metal-oxide semiconductor image sensor; shot, fixed pattern noise, and Gaussian noises; blur and noise reconstruction; color processing and rendering. Paper 130001SSP Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/16/2013 Terms of Use: http://spiedl.org/terms Optical Engineering 102005-2 October 2013/Vol. 52(10) Toadere: Simulating the functionality of a digital camera pipeline Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/16/2013 Terms of Use: http://spiedl.org/terms Optical Engineering 102005-11 October 2013/Vol. 52(10) Toadere: Simulating the functionality of a digital camera pipeline Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/16/2013 Terms of Use: http://spiedl.org/terms

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Section: Pps Cmos High Definitionmentioning

confidence: 99%