In this article, we propose a multiscale cross-connected dehazing network with scene depth
fusion. We focus on the correlation between a hazy image and the corresponding depth …

According to the atmospheric physical model, we can use accurate transmittance and
atmospheric light information to convert a hazy image into a clean one. The scene-depth …

Removing haze, especially non-homogeneous and in various concentrations, is quite
challenging. Existing dehazing methods are usually used to deal with homogeneous haze …

The haziness presence in atmosphere now poses to be a critical issue, especially in terms of
visibility and visual quality. The major challenge faced in the present day scenario is to stitch …

Variable-displacement pumps (VDPs) are widely used as core power components of high-
pressure hydraulic systems due to their superior power density. The loose slipper fault is a …

The turbulence effects in the weather like smog, haze, and fog severely degrade the visibility
and performance of outdoor images by causing texture attenuation and color decay in …

In this paper, we propose a progressive encoding-decoding network (PEDN) for image
dehazing. First, we built a basic dehaze unit to progressively process the image to achieve …

Hazy images suffer from degraded contrast and visibility due to atmospheric factors,
affecting the accuracy of object detection in computer vision tasks. To address this, we …

Images with haze of different varieties often pose a significant challenge to dehazing.
Therefore, guidance by estimates of haze parameters related to the variety would be …

Objective: This systematic literature review aims to comprehensively synthesize existing
evidence on Visual Effects (VFX) and Artificial Intelligence (AI) using the Preferred Reporting …