Non-uniformity correction for medium wave infrared focal plane array-based compressive imaging

Wu, Zimu; Wang, Xia

doi:10.1364/oe.381523

Cited by 14 publications

(7 citation statements)

References 27 publications

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“…In Equation (1), if an infrared image containing stripe noise is input into X, it will be discovered through experiments that the stripe noise can be decomposed into an XZ lowrank component by LatLRR. The XZ part primarily contains the low-frequency component of the image, which reflects the main body of the original image after LatLRR decomposition.…”

Section: Experimental Verification and Analysismentioning

confidence: 99%

An Innovative Approach for Removing Stripe Noise in Infrared Images

Zhao,

Li,

Nie

et al. 2023

Sensors

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The non-uniformity of infrared detectors’ readout circuits can lead to stripe noise in infrared images, which affects their effective information and poses challenges for subsequent applications. Traditional denoising algorithms have limited effectiveness in maintaining effective information. This paper proposes a multi-level image decomposition method based on an improved LatLRR (MIDILatLRR). By utilizing the global low-rank structural characteristics of stripe noise, the noise and smooth information are decomposed into low-rank part images, and texture information is adaptively decomposed into several salient part images, thereby better preserving texture edge information in the image. Sparse terms are constructed according to the smoothness of the effective information in the final low-rank part of the image and the sparsity of the stripe noise direction. The modeling of stripe noise is achieved using multi-sparse constraint representation (MSCR), and the Alternating Direction Method of Multipliers (ADMM) is used for calculation. Extensive experiments demonstrated the proposed algorithm’s effectiveness and compared it with state-of-the-art algorithms in subjective judgments and objective indicators. The experimental results fully demonstrate the proposed algorithm’s superiority and efficacy.

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Section: Experimental Verification and Analysismentioning

confidence: 99%

An Innovative Approach for Removing Stripe Noise in Infrared Images

Zhao,

Li,

Nie

et al. 2023

Sensors

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“…As the spectrum region between 3 µm and 5 µm, medium wave infrared (MWIR) has a number of important characteristics beyond the visible light leading to many applications, such as environmental monitoring, astronomical observation, and military target spying. 1,2 As four basic parameters of light, polarization can enrich the targets scattering information of surface topography and roughness. 3 In polarimetric imaging field, it can enhance target background contrast and object recognition.…”

Section: Introductionmentioning

confidence: 99%

A study on polarization performance of aluminum gratings in medium wave infrared

Li,

Wang,

2023

Third International Computing Imaging Conference (CITA 2023)

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Polarization detection in the Medium Wave Infrared (MWIR) region presents broad applications in environmental monitoring, aerial reconnaissance and military target spying. Here, we have fabricated aluminum gratings with 1000 nm and 400 nm pitch by Electron Beam Lithography (EBL) on Si substrate with double sides antireflection coating. The polarization property is characterized by the transmittance and extinction ratio in medium wave infrared measured by the FTIR-based test system. Both Transverse Electric (TE) wave transmittances of Al wire-grid polarizers remain at low value indicating that the TE wave is effectively blocked by the designed grating. The Transverse Magnetic (TM) wave transmittance of Al grating with 400 nm pitch in medium wave infrared augments significantly leading to the increase of extinction ratio and the better polarization performance compared with that of the Al grating with 1000 nm pitch. The average TM transmittance of Al polarization grating with 400 nm pitch exceeds 80% in medium wave infrared which can meet the requirements of polarization detection integrated into medium wave infrared detectors. As the polarization angle of incident light rotates, the transmittances of both Al gratings are of remarkably periodic, which follows Malus’ law. The extinction ratios of Al grating with 400 nm pitch and 1000 nm pitch realize 219:1 and 90:1 at 4.5 μm, respectively. Al wire-grid polarizers manufactured in this paper can be a promising candidate for optical system applications, especially in the field of medium wave infrared detectors.

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“…Infrared detectors are often subject to severe non-uniform noise due to factors such as semiconductor materials, fabrication processes, readout circuits, and amplifier circuits [4,5]. Non-uniform noise seriously affects the imaging quality of the system, reduces the system resolution and the point target Signal-to-Noise Ratio (SNR), which is the bottleneck restricting the infrared point target detection system to reach the background limit [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

Ding

Wang

Zhang

2020

Sensors

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Infrared detectors suffer from severe non-uniform noise which highly reduces image resolution and point target signal-to-noise ratio. This is the restriction for airborne point target detection systems in reaching the background limit. The existing methods are either not accurate enough, or too complex to be applied to engineering. To improve the precision and reduce the algorithm complexity of scene-based Non-Uniformity Correction (NUC) for an airborne point target detection system, a Median-Ratio Scene-based NUC (MRSBNUC) method is proposed. The method is based on the assumption that the median value of neighboring pixels is approximately constant. The NUC coefficients are calculated recursively by selecting the median ratio of adjacent pixels. Several experiments were designed and conducted. For both the clear sky scene and scene with clouds, the non-uniformity is effectively reduced. Furthermore, targets were detected in outfield experiments. For Target 1 48.36 km away and Target 2 50.53 km away, employing MRSBNUC the SNR of the target increased 2.09 and 1.73 times respectively compared to Two-Point NUC. It was concluded that the MRSBNUC method can reduce the non-uniformity of the detector effectively which leads to a longer detection distance and fewer false alarms of the airborne point target detection system.

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Non-uniformity correction for medium wave infrared focal plane array-based compressive imaging

Cited by 14 publications

References 27 publications

An Innovative Approach for Removing Stripe Noise in Infrared Images

An Innovative Approach for Removing Stripe Noise in Infrared Images

A study on polarization performance of aluminum gratings in medium wave infrared

A Median-Ratio Scene-Based Non-Uniformity Correction Method for Airborne Infrared Point Target Detection System

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