Image quality assessment (IQA) is one of the constantly active areas of research in computer
vision. Starting from the idea of Universal Image Quality Index (UIQI), followed by well …

There is a growing consensus in the research community that the optimization of low-light
image enhancement approaches should be guided by the visual quality perceived by end …

Person re-identification (ReID) is an imperative area of pedestrian analysis and has practical
applications in visual surveillance. In the person ReID, the robust feature representation is a …

In this research, an intelligent approach for the identification of Indian medicinal plant leaves
is presented. Herein, heterogeneous features extracted from leaves of Indian medicinal …

Embodiments generally relate to providing systems and methods for assessing image
quality of a distorted image relative to a reference image. In one embodiment, the system …

Single-image haze removal is an essential preprocessing phase in many object detection
and segmentation approaches. Recently, end-to-end deep learning-based approaches …

An ideal full-reference image quality (FR-IQA) model should exhibit both high separability for
images with different quality and compactness for images with the same or indistinguishable …

Haze is one of the atmospheric image degradations that causes severe distortions to
outdoor images such as low contrast, color shift, and structure damage. Due to the unique …

Nowadays, how to evaluate image quality reasonably is a basic and challenging problem. In
view of the present no reference evaluation methods, they cannot reflect the human visual …

In the last decade, some impressive image quality metrics have been proposed; however,
designing an image quality metric which predicts human judgments is still a challenging …