NUE is an acronym that stands for "Non-uniformity error" or "Non-uniformity correction" in the context of digital imaging and display technology. It refers to a systematic variation or inconsistency in the sensitivity or response of individual pixels or elements within an imaging sensor or display device.
Non-uniformity error arises from variations in the manufacturing process or aging effects that can cause slight differences in the characteristics of each pixel or element. These variations can result in variations in brightness, color, or intensity across the image or display, leading to an irregular or uneven appearance.
To overcome this non-uniformity error and create a uniform image, non-uniformity correction algorithms or techniques are employed. These techniques typically involve measuring the response of each pixel or element and applying appropriate adjustments or compensations to achieve a uniform result.
NUE is particularly relevant in application areas such as thermal imaging, infrared imaging, or high-performance visual displays, where accurate and consistent representation of the scene or content is crucial.
By eliminating non-uniformity errors, NUE helps improve the quality, precision, and reliability of imaging systems and displays, ensuring that the captured or displayed information is more faithful to the original scene or content, and reducing potential visual artifacts or distractions that might be caused by non-uniformity.
