Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

The content of images users post to their social media is driven in part by personality. In this
study, we analyze how Twitter profile images vary with the personality of the users posting …

Low-light image enhancement algorithms can improve the visual quality of low-light images
and support the extraction of valuable information for some computer vision techniques …

Diabetic retinopathy is a medical condition of the damaged retina that is caused by diabetes
and lack of proper monitoring and treatment, which usually leads to blindness. However …

Image Dehazing is a fast growing research area with several practical applications.
Dehazing improves the image quality that has been affected due to the scattering …

Human beings often assess the aesthetic quality of an image coupled with the identification
of the image's semantic content. This paper addresses the correlation issue between …

Depression is a major public health concern in the US and globally. While successful early
identification and treatment can lead to many positive health and behavioral outcomes …

Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …

Given a grayscale photograph, the colorization system estimates a visually plausible colorful
image. Conventional methods often use semantics to colorize grayscale images. However …

To efficiently enhance images, a novel algorithm using multi scale image features extracted
by top-hat transform is proposed in this paper. Firstly, the multi scale bright and dim regions …