One of the most important issues for researchers developing image processing algorithms is
image quality. Methodical quality evaluation, by showing images to several human …

Precision agriculture using unmanned aerial vehicles (UAVs) is gaining popularity. These
UAVs provide a unique aerial perspective suitable for inspecting agricultural fields. With the …

Demosaicking is the process of reconstructing a full resolution color image from the sampled
data acquired by a digital camera that apply a color filter array to a single sensor. In this …

Since the refractive index of materials commonly used for lens depends on the wavelengths
of light, practical camera optics fail to converge light to a single point on an image plane …

This paper describes a study aimed at comparing the real image sensor noise distribution to
the models of noise often assumed in image denoising designs. A quantile analysis in pixel …

One popular technique for multimodal imaging is generalized assorted pixels (GAP), where
an assorted pixel array on the image sensor allows for multimodal capture. Unfortunately …

Image imaging in the real world is based on physical imaging mechanisms. Existing super-
resolution methods mainly focus on designing complex network structures to extract and …

An unbiased subpixel centroid estimation algorithm of point image is proposed through the
compensation of the systematic error of the center of mass method. The Cramér–Rao lower …

Noise is present in all images captured by real-world image sensors. Poisson distribution is
said to model the stochastic nature of the photon arrival process and agrees with the …

Quanta image sensor (QIS) is a new type of image sensors with single-photon sensitivity.
However, the existing literature on QIS has been focusing on monochromatic signals. In this …