Mr. Chong-Liang Liu Profile

Chong-Liang Liu

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Proceedings Article | 18 August 2011 Paper

Infrared nonuniformity correction and radiometric calibration technology using U-shaped blackbody

Weiqi Jin, Chongliang Liu, Jinli Xiu

Proceedings Volume 8194, 819405 (2011) https://doi.org/10.1117/12.900122

KEYWORDS: Calibration, Black bodies, Thermography, Nonuniformity corrections, Sensors, Infrared radiation, Infrared imaging, Detection and tracking algorithms, Relays, Imaging systems

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A nonuniformity correction and radiometric calibration algorithm for infrared focal plane array is presented, combined with two-point correction along the U-shaped blackbody rim. The format of Infrared Focal-Plane Array (IRFPA) is larger and larger now; however, due to technical limitations and material defects in production, the drift of the IRFPA response during their working is unavailable. It will leads to non-uniformity of the thermal imaging systems which has become an important affect element of the efficiency for the practical use of the thermal imaging equipments. Point to the problems of traditional radiation calibration and correction methods, we proposed a dynamic infrared calibration and correction technology using U-shaped blackbody. With the help of blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based on the scene information and shift between adjacent frames, a special algebraic algorithm is proposed to transport correction parameters from perimeter detectors to those interior un-corrected ones. In this way, the correction parameters of the whole field of view (FOV) are calculated. The temperature of the U-shaped blackbody is controllable, so dynamic infrared calibration can be done after nonuniformity correction to modification the drift of the original calibration table. A U-shaped blackbody is designed and an experimental platform is built to evaluate the algorithm. The U-shaped perimeter blackbody is designed to be able to scale out periodically so as to continuously update the correction parameters. It proves to be able to achieve two-point correction for accuracy, without covering the central FOV.

Proceedings Article | 5 August 2009 Paper

A DSP-based neural network non-uniformity correction algorithm for IRFPA

Chong-liang Liu, Wei-qi Jin, Yang Cao, Xiu Liu

Proceedings Volume 7383, 73832O (2009) https://doi.org/10.1117/12.834894

KEYWORDS: Nonuniformity corrections, Digital signal processing, Video, Infrared imaging, Sensors, Neural networks, Calibration, Infrared radiation, Evolutionary algorithms, Detection and tracking algorithms

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An effective neural network non-uniformity correction (NUC) algorithm based on DSP is proposed in this paper. The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed-pattern noise(FPN).We introduced and analyzed the artificial neural network scene-based non-uniformity correction (SBNUC) algorithm. A design of DSP-based NUC development platform for IRFPA is described. The DSP hardware platform designed is of low power consumption, with 32-bit fixed point DSP TMS320DM643 as the kernel processor. The dependability and expansibility of the software have been improved by DSP/BIOS real-time operating system and Reference Framework 5. In order to realize real-time performance, the calibration parameters update is set at a lower task priority then video input and output in DSP/BIOS. In this way, calibration parameters updating will not affect video streams. The work flow of the system and the strategy of real-time realization are introduced. Experiments on real infrared imaging sequences demonstrate that this algorithm requires only a few frames to obtain high quality corrections. It is computationally efficient and suitable for all kinds of non-uniformity.

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