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Low-Light Image Enhancement Using Adaptive Digital Pixel Binning.

Yoo Y, Im J, Paik J - Sensors (Basel) (2015)

Bottom Line: This paper presents an image enhancement algorithm for low-light scenes in an environment with insufficient illumination.Simple amplification of intensity exhibits various undesired artifacts: noise amplification, intensity saturation, and loss of resolution.Since the proposed algorithm does not use an iterative computation, it can be easily embedded in an existing digital camera ISP pipeline containing a high-resolution image sensor.

View Article: PubMed Central - PubMed

Affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. whitener@cau.ac.kr.

ABSTRACT
This paper presents an image enhancement algorithm for low-light scenes in an environment with insufficient illumination. Simple amplification of intensity exhibits various undesired artifacts: noise amplification, intensity saturation, and loss of resolution. In order to enhance low-light images without undesired artifacts, a novel digital binning algorithm is proposed that considers brightness, context, noise level, and anti-saturation of a local region in the image. The proposed algorithm does not require any modification of the image sensor or additional frame-memory; it needs only two line-memories in the image signal processor (ISP). Since the proposed algorithm does not use an iterative computation, it can be easily embedded in an existing digital camera ISP pipeline containing a high-resolution image sensor.

No MeSH data available.


Two different pixel binning approaches to combine 2 × 2 pixels into one bin: (a) sensor-based pixel binning; and (b) digital pixel binning.
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sensors-15-14917-f001: Two different pixel binning approaches to combine 2 × 2 pixels into one bin: (a) sensor-based pixel binning; and (b) digital pixel binning.

Mentions: Sensor-based pixel binning is designed to increase the sensitivity of an image sensor by combining multiple photodiodes into one bin at the cost of decreasing the spatial resolution as shown in Figure 1a. On the other hand, digital pixel binning can accumulate multiple pixel values without losing the spatial resolution as shown in Figure 1b.


Low-Light Image Enhancement Using Adaptive Digital Pixel Binning.

Yoo Y, Im J, Paik J - Sensors (Basel) (2015)

Two different pixel binning approaches to combine 2 × 2 pixels into one bin: (a) sensor-based pixel binning; and (b) digital pixel binning.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541814&req=5

sensors-15-14917-f001: Two different pixel binning approaches to combine 2 × 2 pixels into one bin: (a) sensor-based pixel binning; and (b) digital pixel binning.
Mentions: Sensor-based pixel binning is designed to increase the sensitivity of an image sensor by combining multiple photodiodes into one bin at the cost of decreasing the spatial resolution as shown in Figure 1a. On the other hand, digital pixel binning can accumulate multiple pixel values without losing the spatial resolution as shown in Figure 1b.

Bottom Line: This paper presents an image enhancement algorithm for low-light scenes in an environment with insufficient illumination.Simple amplification of intensity exhibits various undesired artifacts: noise amplification, intensity saturation, and loss of resolution.Since the proposed algorithm does not use an iterative computation, it can be easily embedded in an existing digital camera ISP pipeline containing a high-resolution image sensor.

View Article: PubMed Central - PubMed

Affiliation: Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea. whitener@cau.ac.kr.

ABSTRACT
This paper presents an image enhancement algorithm for low-light scenes in an environment with insufficient illumination. Simple amplification of intensity exhibits various undesired artifacts: noise amplification, intensity saturation, and loss of resolution. In order to enhance low-light images without undesired artifacts, a novel digital binning algorithm is proposed that considers brightness, context, noise level, and anti-saturation of a local region in the image. The proposed algorithm does not require any modification of the image sensor or additional frame-memory; it needs only two line-memories in the image signal processor (ISP). Since the proposed algorithm does not use an iterative computation, it can be easily embedded in an existing digital camera ISP pipeline containing a high-resolution image sensor.

No MeSH data available.