ADMIRE: a locally adaptive single-image, non-uniformity correction and denoising algorithm: application to uncooled IR camera

Stripe noise removal for infrared image by minimizing difference between columns

“…The data used in our experiment is realistic infrared images from a public infrared image dataset [16]. The proposed algorithm is compared with the state of the Fig.…”

“…In [15], authors propose to estimate stripe noise in a single frame using the polynomial curve model which is learned from the thermal calibration experiments. Tendero and Gilles [16] proposed an effective stripe removal method by Midway Histogram Equalization (MHE) on each columns of images. In [5], the stripe NUC problem is treated as a gradient-based regularization optimization which aims to seek the optimal image with a vertical gradient as close to the original image as possible and make the energy of the horizontal gradient as small as possible.…”

Strip non-uniformity correction in uncooled long-wave infrared focal plane array based on noise source characterization

“…We make use of images from a publicly infrared image dataset [18] and some of our own captured infrared images to demonstrate that our method is applicable to images captured by different types of infrared devices.…”

“…7 shows an example that the proposed algorithm does not significantly alter the original input when applied to an noise-free image, while the MHE-based method will cause obvious vertical artifacts. A locally-adaptive contrast adjustment algorithm [18,20] can be implemented to remove the artifacts but it involves time-consuming iterations. Table 2 shows the average of time (run for 10 times) consumed to process images of different dimensions using two algorithms.…”

Dark Current Compensation and Sensitivity Adjustment on Gallium Arsenide Linear Array Detector for X-Ray Imaging

“…In case of linear array detectors with a direct conversion there are two sources of non-uniformity: the raw sequence of signals formed by different dark current of each element without x-ray flux and sensitivity of each element to x-ray exposure. There are many different algorithms to reduce this type non-uniformity which available mainly for infrared imaging systems [5]- [8] and because infrared linear arrays have very similar non-uniformity pattern. But in case of x-ray imaging such algorithms are the proprietary methods, unavailable as software libraries.…”