Results 51 to 60 of about 36,775 (242)

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

, 2018
Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributions in natural images and leverage
Barnard Kobus, Finlayson Graham D, He Kaiming, Howard Andrew G, Hu Yuanming, Vaezi Joze Hamid Reza, Zhang Xiangyu   +6 more
core   +1 more source

Unsupervised haze removal from underwater images

, 2023
Several supervised networks exist that remove haze information from underwater images using paired datasets and pixel-wise loss functions. However, training these networks requires large amounts of paired data which is cumbersome, complex and time-consuming. Also, directly using adversarial and cycle consistency loss functions for unsupervised learning
Kandula, Praveen, Rajagopalan, A. N.
openaire   +2 more sources

DEHRFormer: Real-Time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Accepted to ICASSP ...
Chen, Sixiang, Ye, Tian, Shi, Jun, Liu, Yun, Jiang, JingXia, Chen, Erkang, Chen, Peng   +6 more
openaire   +2 more sources

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Influence of Botanical Origin on the Optical, Surface, and Nanomechanical Properties of Nanocellulose‐Based Films: A Comparative Study

Journal of Applied Polymer Science, EarlyView.
Schematic representation of the processing and multiscale characterization of nanocellulose films from different botanical sources. ABSTRACT Although the influence of botanical origin on nanocellulose properties is well recognized, an integrated multiscale framework linking chemical composition, fractal surface descriptors, and nanomechanical behavior ...
Márcia da Silva Costa, Erveton Pinheiro Pinto, Mário Vanoli Scatolino, Rodrigo Prioli Menezes, Adriano Reis Prazeres Mascarenhas, Matheus Cordazzo Dias, Gustavo Henrique Denzin Tonoli, Lina Bufalino, Francisco Tarcísio Alves Junior, Tiago Marcolino de Souza   +9 more
wiley   +1 more source

Haze Level Evaluation Using Dark and Bright Channel Prior Information

Atmosphere, 2022
Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available in this area. In this paper, a novel haze level evaluation strategy for real-world outdoor scenes is presented.
Ying Chu, Fan Chen, Hong Fu, Hengyong Yu
doaj   +1 more source

Sustainable Cellulose Ionogels With Promising Physical Structure, Properties, and Applications

Advanced Physics Research, EarlyView.
This study presents a comprehensive overview of cellulose functional gels, focusing on their molecular network design and physical properties. The extensive potential applications of cellulose gels in flexible electronics, biomedicine, and smart engineering are explored in depth. This work provides valuable insights and guidance for future research and
Wenjuan Wang, Haibo Jiang, Geyuan Jiang, Minxin Wang, Jun Guan, Jianhong Zhou, Dawei Zhao   +6 more
wiley   +1 more source

3D Visualization of Objects in Heavy Scattering Media by Using Wavelet Peplography

IEEE Access, 2022
In this paper, we propose three-dimensional(3D) visualization of objects in heavy scattering media by using peplography and wavelet transform. Conventional haze removal techniques can remove the light haze in the image by using various image processing ...
Jaehoon Lee, Myungjin Cho, Min-Chul Lee
doaj   +1 more source

Leadership and Sustainability in a Globalized World: Emerging Trends, Global Contexts, Key Challenges, and Effective Strategies

Business Strategy and the Environment, EarlyView.
ABSTRACT This systematic review analyzes 109 studies from top business journals, exploring the connection between leadership and sustainability, including key leadership styles, emerging trends, and challenges in integrating sustainability into organizational strategies and operations.
Muzhar Javed, Bilal. Bilal, Nacef Mouri, Muhammad Faisal   +3 more
wiley   +1 more source

Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform

IEEE Access, 2021
In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequency
Bowen Zhang, Manli Wang, Xiaobo Shen
doaj   +1 more source