New digital camera sensor architecture for low light imaging

Kumar, Mrityunjay; Morales, Efrain O.; Adams, James E.; Wu, Hao

doi:10.1109/icip.2009.5414126

Cited by 25 publications

(19 citation statements)

References 3 publications

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“…The reason for this is that the amount of absorbed light decreases due to the RGB color filters. When white (panchromatic) pixels (W) are used, sensors can absorb more light, thereby providing an advantage in terms of sensitivity [2][3][4][5][6][7]. Despite of the sensitivity improvement, various RGBW CFA patterns suffer from spatial resolution degradation.…”

Section: Introductionmentioning

confidence: 99%

Color interpolation algorithm for an RWB color filter array including double-exposed white channel

Song

Park

Kim

et al. 2016

EURASIP J. Adv. Signal Process.

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In this paper, we propose a color interpolation algorithm for a red-white-blue (RWB) color filter array (CFA) that uses a double exposed white channel instead of a single exposed green (G) channel. The double-exposed RWB CFA pattern, which captures two white channels at different exposure times simultaneously, improves the sensitivity and provides a solution for the rapid saturation problem of W channel although spatial resolution is degraded due to the lack of a suitable color interpolation algorithm. The proposed algorithm is designed and optimized for the double-exposed RWB CFA pattern. Two white channels are interpolated by using directional color difference information. The red and blue channels are interpolated by applying a guided filter that uses the interpolated white channel as a guided value. The proposed method resolves spatial resolution degradation, particularly in the horizontal direction, which is a challenging problem in the double-exposed RWB CFA pattern. Experimental results demonstrate that the proposed algorithm outperforms other color interpolation methods in terms of both objective and subjective criteria.

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Section: Introductionmentioning

confidence: 99%

Color interpolation algorithm for an RWB color filter array including double-exposed white channel

Song

Park

Kim

et al. 2016

EURASIP J. Adv. Signal Process.

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“…We impose this condition of constant luminance sensitivity to make denoising practical. In fact, having a noise variance which changes from pixel to pixel in the demosaicked image, as is the case with the CFAs proposed in [3], [17], makes subsequent denoising a much more difficult task. Also, having a uniform quantum efficiency accross the image plane reduces the issues of under-and over-saturation of the sensor measurements; it is desirable to have a uniform dynamic range and tone curve.…”

Section: A a Class Of Cfas Robust To Aliasingmentioning

confidence: 99%

“…IV-C. The images were mosaicked using the considered CFAs and corrupted with two different noise levels 3 . The state-of-theart BM3D method [33] was used to denoise the luminance of the demosaicked image.…”

Section: B Evaluation In Noisy Situationsmentioning

confidence: 99%

“…For the method of Nai-Xiang et al [32], we performed the demosaicking experiments using the Matlab code put available online by the authors at http://www.ntu.edu.sg/home5/CHAN0069/AFdemosaick.zip 3 We used the same noise realization for every method and every image, using the Matlab command randn('state',0); before calling noise=sigma * randn(height,width); 4 Image base freely available at http://www.greyc.ensicaen.fr/∼lcondat/imagebase.html. the proposed CFA slightly outperforms the CFA of Hirakawa et al.…”

Section: B Evaluation In Noisy Situationsmentioning

confidence: 99%

“…There is a vast literature dealing with the best way to reduce aliasing artifacts during the demosaicking process, but these artifacts are inherent to the spectral characteristics of the Bayer CFA [11]. Kodak patented new CFAs containing transparent (panchromatic) filters, in addition to R, G, B filters [3], [12]. Other CFAs have been proposed in the literature [4], [5], [13], [14]; some of these are compared in [15].…”

Section: Introductionmentioning

confidence: 99%

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A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Condat

2011

IEEE Trans. on Image Process.

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Abstract-Digital color cameras acquire color images by means of a sensor on which a color filter array (CFA) is overlaid. The Bayer CFA dominates the consumer market, but there has been recently a renewed interest for the design of CFAs [2]-[6]. However, robustness to noise is often neglected in the design, though it is crucial in practice. In this work, we present a new 2 × 3-periodic CFA which provides, by construction, the optimal tradeoff between robustness to aliasing, chrominance noise and luminance noise. Moreover, a simple and efficient linear demosaicking algorithm is described, which fully exploits the spectral properties of the CFA. Practical experiments confirm the superiority of our design, both in noiseless and noisy scenarios.Index Terms-Color filter array (CFA), color imaging, demosaicking, digital camera pipeline, spatio-spectral sampling, luminance/chrominance basis, noise sensitivity.

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Image Acquisition

Adams¹,

Pillman²

2016

Handbook of Visual Display Technology

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New digital camera sensor architecture for low light imaging

Cited by 25 publications

References 3 publications

Color interpolation algorithm for an RWB color filter array including double-exposed white channel

Color interpolation algorithm for an RWB color filter array including double-exposed white channel

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Image Acquisition

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