A scene-based nonuniformity correction algorithm based on fuzzy logic

Abstract

Scene-based nonuniformity correction algorithms based on the LMS adaptive filter are quite efficient to reduce the fixed pattern noise in infrared images. They are famous for their low cost of computation and storage recourses. Unfortunately, ghosting artifacts can be easily introduced in edge areas when the inter-frame motion slows. In this paper, a gated scene-based nonuniformity correction algorithm is proposed. A novel low-pass filter based on the fuzzy logic is proposed to estimate the true scene radiation as the desired signal in the LMS adaptive filter. The fuzzy logic can also evaluate the probability that a pixel and its locals belong to edge areas. Then the update of the correction parameters for the pixels in edge areas can be gated. The experiment results show that our method is reliable and the ghosting artifacts are reduced.

Aproximación sistemática a la creación de versiones digitales de negativos fotográficos históricos

“…En el área de la imagen infrarroja en movimiento hay una productiva vía de trabajo que trata de resolver la corrección de inhomogeneidades temporales en secuencias en tiempo real y cuyas aportaciones podemos aplicar a la digitalización en serie de documentos. Estos métodos, comúnmente denominados scened based nonuniformity correction, no utilizan imágenes de referencia sino el análisis estadístico de la respuesta de cada píxel en escenas reales capturadas por la cámara en pleno funcionamiento (Hayat et al, 1999;Huang et al, 2015).…”

Colour imaging system response non-uniformity correction based on inverse model and regularization method

“…One is calibration-based method 1–15 and the other is scene-based NUC method. 16–44 The NUC model is the most important factor in both methods. Scene-based NUC methods depend on scene characteristics to estimate the model parameters.…”