In this paper, we propose a deep learning method for single infrared image optical noise
removal. With a fully convolutional neural network, it is able to eliminate the optical noise in …

Fixed-pattern noise (FPN), which is caused by the nonuniform opto-electronic responses of
microbolometer focal-plane-array (FPA) optoelectronics, imposes a challenging problem in …

A novel statistical approach is undertaken for the adaptive estimation of the gain and bias
nonuniformity in infrared focal-plane array sensors from scene data. The gain and the bias of …

In recent years, longwave infrared (LWIR) cameras have become potential in visual
simultaneous localization and map** (SLAM) research since the delivered thermal …

In this paper, we present a simple and effective scene-based nonuniformity correction (NUC)
method for infrared focal plane arrays based on interframe registration. This method …

In the infrared focal plane arrays imaging systems, the temperature-dependent
nonuniformity effects severely degrade the image quality. In this letter, we propose a very …

In this paper, we present a scene-based nouniformity correction (NUC) method using a
modified adaptive least mean square (LMS) algorithm with a novel gating operation on the …

Stripe noise removing remains a challenging inverse problem for researchers in the field of
infrared image. In this paper, an infrared image stripe noise removing method is proposed …

The non-uniform response in infrared focal plane array (IRFPA) detectors produces
corrupted images with a fixed-pattern noise. In this paper we present an enhanced adaptive …

What is to our knowledge a new scene-based algorithm for nonuniformity correction in
infrared focal-plane array sensors has been developed. The technique is based on the …