A High-Dynamic-Range Optical Remote Sensing Imaging Method for Digital TDI CMOS

The digital time delay integration (digital TDI) technology of the complementary metal-oxide-semiconductor (CMOS) image sensor has been widely adopted and developed in the optical remote sensing field. However, the details of targets that have low illumination or low contrast in scenarios of high co...

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Bibliographic Details
Published inApplied sciences Vol. 7; no. 10; p. 1089
Main Authors Lan, Taiji, Xue, Xucheng, Li, Junlin, Han, Chengshan, Long, Kehui
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 20.10.2017
Subjects
Adaptive algorithms
CMOS
Computer vision
Digital imaging
digital TDI CMOS
EMAHE
Entropy
Equalization
Eye
gradient pyramid decomposition
high-dynamic-range imaging
Image contrast
Image detection
image fusion
Image processing
Noise
optical remote sensing
Remote sensing
Remote sensors
Time lag
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Summary:The digital time delay integration (digital TDI) technology of the complementary metal-oxide-semiconductor (CMOS) image sensor has been widely adopted and developed in the optical remote sensing field. However, the details of targets that have low illumination or low contrast in scenarios of high contrast are often drowned out because of the superposition of multi-stage images in digital domain multiplies the read noise and the dark noise, thus limiting the imaging dynamic range. Through an in-depth analysis of the information transfer model of digital TDI, this paper attempts to explore effective ways to overcome this issue. Based on the evaluation and analysis of multi-stage images, the entropy-maximized adaptive histogram equalization (EMAHE) algorithm is proposed to improve the ability of images to express the details of dark or low-contrast targets. Furthermore, in this paper, an image fusion method is utilized based on gradient pyramid decomposition and entropy weighting of different TDI stage images, which can improve the detection ability of the digital TDI CMOS for complex scenes with high contrast, and obtain images that are suitable for recognition by the human eye. The experimental results show that the proposed methods can effectively improve the high-dynamic-range imaging (HDRI) capability of the digital TDI CMOS. The obtained images have greater entropy and average gradients.
ISSN:2076-3417
2076-3417
DOI:10.3390/app7101089