No-reference image quality assessment (NR-IQA) methods automatically and objectively
predict the perceptual quality of images without access to a reference image. Therefore, due …

The early prediction of Alzheimer's disease (AD) can be vital for the endurance of patients
and establishes as an accommodating and facilitative factor for specialists. The proposed …

In this paper, we present an analysis of important aspects that arise during the development
of neural network applications. Our aim is to determine if the choice of library can impact the …

Plants play a significant role in our lives. They are the primary source of food. But when
these are diagnosed with diseases, productivity reduces. Grape is an important fruit, which is …

Bamboos, also known as non-timber forest products (NTFPs) and belonging to the family
Poaceae and subfamily Bambusoideae, have a wide range of flowering cycles from 3 to 120 …

Color information is useless for distinguishing significant edges and features in numerous
applications. In image processing, a gray image discards much-unrequired data in a color …

Low-light image enhancement is a challenging task that aims to improve the visibility and
quality of images captured in dark environments. However, existing methods often introduce …

Deep learning has recently been used to study blind image quality assessment (BIQA) in
great detail. Yet, the scarcity of high-quality algorithms prevents from developing them …

There are several methods available for image dehazing. The challenges faced by most of
these algorithms include under-exposure and leftover haze after dehazing, which eventually …

The classification of vocal individuality for passive acoustic monitoring (PAM) and census of
animals is becoming an increasingly popular area of research. Nearly all studies in this field …