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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/22490
Title: Image Processing Framework for Performance Enhancement of Low-Light Image Sensors
Authors: Purohit M.
Chakraborty A.
Kumar A.
Kumar Kaushik, Brajesh
Published in: IEEE Sensors Journal
Abstract: Night vision devices are used for capturing images under low light conditions ( <10-1 lux), which are significantly different from images under standard illumination. The night vision devices based on image intensifier tube have power and cost advantages over other night vision devices, such as thermal imaging for short-range surveillance. However, these vision devices suffer from scintillation noise, which makes the resulting images noisy under very low light conditions. This paper presents a comprehensive methodology that uses a consolidated image processing module to improve the performance of low-light images acquired using image-intensifier-based night vision devices. The proposed module is a combination of a two-stage image processing framework. First, a spatiooral filter (based on wavelet and recursive frame averaging) is used to minimize inter-frame and intra-frame noise. Then, image enhancement is performed followed by residual noise reduction using a local spatial filter before applying image tone adjustment for display mapping. The results of the proposed module demonstrate performance enhancement of night vision devices under controlled simulated light conditions as well as field conditions. Objective and subjective analysis also reveals that the proposed module can effectively reduce noise and significantly improve visual image quality by 20-30%. © 2001-2012 IEEE.
Citation: IEEE Sensors Journal, 21(6): 8530-8542
URI: https://doi.org/10.1109/JSEN.2020.3044392
http://repository.iitr.ac.in/handle/123456789/22490
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: denoising
Image intensifier tube
image resolution
low light vision
night vision device
recursive frame averaging
spatial frequency response
ISSN: 1530437X
Author Scopus IDs: 57094628600
57224760176
57214421217
57021830600
Author Affiliations: Purohit, M., Instruments Research Development Establishment, Dehradun, 248008, India
Chakraborty, A., Instruments Research Development Establishment, Dehradun, 248008, India
Kumar, A., Instruments Research Development Establishment, Dehradun, 248008, India
Kaushik, B.K., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Corresponding Author: Kaushik, B.K.; Department of Electronics and Communication Engineering, India; email: bkk23fec@iitr.ac.in
Appears in Collections:Journal Publications [ECE]

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