Digital images are playing a progressively important role in almost all the fields such as
computer science, medicine, communications, transmission, security, surveillance, and …

Over the last decade, the number of digital images captured per day has increased
exponentially, due to the accessibility of imaging devices. The visual quality of photographs …

Image restoration (IR) has been widely used in many computer vision applications. The
model-based IR methods have clear theoretical bases. However, numerous hyper …

This paper deals with the prediction of methylene blue (MB) dye removal under the influence
of titanium dioxide nanoparticles (TiO 2 NPs) through deep neural network (DNN). In the first …

Vehicle logo recognition (VLR) is essential in intelligent transportation systems. Although
many VLR algorithms have been proposed, efficient and accurate VLR remains challenging …

Image classification needs to consider the existence of image degradations in practice.
Although degraded images have various levels of degradation, the degradation levels are …

Although clear image classification and degraded image restoration have been studied a lot,
regrettably, the degraded image classification problem has been largely overlooked …

In this study, an artificial neural network (ANN) is used for the prediction of tensile strength of
nano titanium dioxide (TiO2) coated cotton. The coating process was performed by …

Image classification needs to consider image degradations in practice because an image
classification network trained with clean images works poorly for degraded images while …

Incomplete handwritten Dongba character often appears in heritage documents and its
recognition is significant for heritage and philology. However, all previous methods always …