A comprehensive review of computational dehazing techniques
The visibility of outdoor images is greatly degraded due to the presence of fog, haze, smog
etc. The poor visibility may cause the failure of computer vision applications such as …
etc. The poor visibility may cause the failure of computer vision applications such as …
A review of remote sensing image dehazing
J Liu, S Wang, X Wang, M Ju, D Zhang - Sensors, 2021 - mdpi.com
Remote sensing (RS) is one of the data collection technologies that help explore more earth
surface information. However, RS data captured by satellite are susceptible to particles …
surface information. However, RS data captured by satellite are susceptible to particles …
Single image defogging using deep learning techniques: past, present and future
Image dehazing play a vital role in several applications related to computer vision. The
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
Comprehensive survey on haze removal techniques
Image haze removal techniques are extensively used in several outdoor applications. Lack
of sufficient knowledge that is required to restore hazy images, the existing techniques …
of sufficient knowledge that is required to restore hazy images, the existing techniques …
Developing a similarity index for static camouflaged target detection
Measurement of camouflage performance is of fundamental importance for military stealth
applications. The goal of camouflage assessment algorithms is to automatically assess the …
applications. The goal of camouflage assessment algorithms is to automatically assess the …
Intra mode decision and frame layer Lagrange multiplier adjustment scheme for H. 264 based on structural similarity
ZG Cui, ZL Gan, XC Zhu - The Imaging Science Journal, 2014 - Taylor & Francis
H. 264 takes rate distortion optimisation (RDO) technique to perform intra and inter mode
decision and achieves higher coding efficiency, but the objective distortion metric such as …
decision and achieves higher coding efficiency, but the objective distortion metric such as …