Existing fixed pattern noise reduction (FPNR) methods are easily affected by the motion
state of the scene and working condition of the image sensor, which leads to over smooth …

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 …

We describe a new, to our knowledge, scene-based nonuniformity correction algorithm for
array detectors. The algorithm relies on the ability to register a sequence of observed frames …

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 …

A scene-based algorithm is developed to compensate for bias nonuniformity in focal-plane
arrays. Nonuniformity can be extremely problematic, especially for mid-to far-infrared …

A computationally efficient method for image registration is investigated that can achieve an
improved performance over the traditional two-dimensional (2-D) cross-correlation-based …

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 …

Following calibration, hyperspectral images remain affected by spatial dimension
nonuniformity, ie, stripe noise, due to stray light interference, slit contamination, and …

摘要计算光学成像是一种通过联合优化光学系统和信号处理以实现特定成像功能与特性的新兴
研究领域. 它并不是光学成像和数字图像处理的简单补充, 而是前端(物理域) …

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 …