Abstract

The demand for low-noise (for capturing a clear image in low-light conditions), high-speed (for slow-motion applications and reducing rolling shutter distortion) and high-resolution (for formats beyond 4K) CMOS image sensors is still increasing. In addition, the emerging camcorder market typified by handsfree devices requires the simultaneous capture of still and moving images. To improve noise performance, a method of pseudo-multiple sampling has been proposed [1]. However, the noise reduction effect is insufficient due to the non-uniformity of the CDS period. For high frame rates, multichannel and high-data-rate interfaces have been reported [2-4]. For simultaneous capture of still and moving images, a seamless mode change has been shown [5], but it is necessary to convert a still image (full pixel data) to a moving image (2×2 binning data) by an external DSP.

Keywords:
Rolling shutter Frame rate Image sensor Computer science Pixel Computer vision Noise (video) Shutter Artificial intelligence Distortion (music) CMOS Noise reduction Computer graphics (images) Computer hardware Image (mathematics) Electronic engineering Optics Engineering Physics

Metrics

61
Cited By
6.68
FWCI (Field Weighted Citation Impact)
8
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Fluorescence Microscopy Techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Biophysics

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