In underwater scenes, the quality of the video and image acquired by the underwater
imaging system suffers from severe degradation, influencing target detection and …

Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …

The natural and artificial dispersal of climatic particles transforms images obtained in open-
air conditions. Due to visibility diminishing aerosols, unfavorable climate situations such as …

For the last two decades, image processing techniques have been used frequently in
computer vision applications. The most challenging task in image processing is restoring …

Low light image enhancement algorithms intent to produce visually pleasant images and
target to extract valuable information for computer vision applications. The task of improving …

Computer-aided diagnosis in health centres detects lung cancer at an early period. The
feature set dimensions and over fitting of lung cancer features make it extremely difficult to …

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 …

Adopting local patches for varying haze conditions is crucial for optimizing the performance
in single image dehazing. We propose a novel two-fold method with a prime focus on self …

In the field of image processing, practical applications such as object detection, tracking, and
surveillance face significant challenges, particularly in adverse weather conditions like fog …

In order to improve the visual effect of aerial images in foggy weather, a Retinex defogging
algorithm combining dark channel priors is proposed to solve the phenomenon of …