Human visual perception is limited to the visual-optical spectrum. Machine vision is not.
Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous …

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 …

Infrared images typically contain obvious strip noise. It is a challenging task to eliminate
such noise without blurring fine image details in low-textured infrared images. In this paper …

Digital images often suffer from the common problem of stripe noise due to the inconsistent
bias of each column. The existence of the stripe poses much more difficulties on image …

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 …

Stripe noise removal is a crucial step for the infrared imaging system. Existing stripe removal
methods are hard to balance stripe removal and image details preservation. In this paper, a …

Many images of agricultural crops are made at different times of the day, images with
different spectral information about the same crop in relation to conditions when the picture …

The existing nonuniformity correction methods generally have the defects of image blur,
artifacts, image over-smoothing, and nonuniform residuals. It is difficult for these methods to …

In uncooled long-wave infrared (LWIR) imaging systems, non-uniformity of the amplifier in
readout circuit will generate significant noise in captured infrared images. This type of noise …

Infrared image destriping seeks to restore high-quality content from degraded images.
Recent works mainly address this task by leveraging prior knowledge to separate stripe …