Derivative Based Focal Plane Array Nonuniformity Correction
This paper presents a fast and robust method for fixed pattern noise nonuniformity correction of infrared focal plane arrays. The proposed method requires neither shutter nor elaborate calibrations and therefore enables a real time correction with no interruptions. Based on derivative estimation of the fixed pattern noise from pixel sized translations of the focal plane array, the proposed method has the advantages of being invariant to the noise magnitude and robust to unknown camera and inter-scene movements while being virtually transparent to the end-user.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Scene-based nonuniformity correction with homography transformation
Due to their affordable, low mass, and small dimensions, uncooled microbolometer-based thermal focal plane arrays (UC-FPAs) are useful for long-wave infrared (LWIR)imaging applications. However, in outdoor conditions typ…
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection
Infrared unmanned aerial vehicle (UAV) images captured using thermal detectors are often affected by temperature dependent low-frequency nonuniformity, which significantly reduces the contrast of the images. Detecting UA…
parameter estimationDetection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection
Infrared unmanned aerial vehicle (UAV) images captured using thermal detectors are often affected by temperature-dependent low-frequency nonuniformity, which significantly reduces the contrast of the images. Detectin…
parameter estimationArray Camera Image Fusion using Physics-Aware Transformers
We demonstrate a physics-aware transformer for feature-based data fusion from cameras with diverse resolution, color spaces, focal planes, focal lengths, and exposure. We also demonstrate a scalable solution for syntheti…
Image GenerationFocal plane wavefront control with model-based reinforcement learning
The direct imaging of potentially habitable exoplanets is one prime science case for high-contrast imaging instruments on extremely large telescopes. Most such exoplanets orbit close to their host stars, where their obse…
Reinforcement Learning