[HTML][HTML] Biological Basis and Computer Vision Applications of Image Phase Congruency: A Comprehensive Survey

Y Tian, M Wen, D Lu, X Zhong, Z Wu - Biomimetics, 2024 - mdpi.com
The concept of Image Phase Congruency (IPC) is deeply rooted in the way the human visual
system interprets and processes spatial frequency information. It plays an important role in …

[PDF][PDF] 基于图像全序列特征权重的多曝光图像融合方法

刘卫华, 马碧燕 - Laser & Optoelectronics Progress, 2022 - researching.cn
摘要现有的多曝光融合方法一般只根据每幅图像自身的特征确定权重图, 得到的融合图像存在
部分信息缺失, 细节不清晰等问题, 尤其当图像中存在强光时, 融合结果不理想 …

Entropy-driven exposure interpolation for large exposure-ratio imagery

H Adeel, MM Riaz, T Bashir - Multimedia Tools and Applications, 2024 - Springer
Sensor limitations in capturing devices and environmental factors can result in radiance
artifacts in rendered images. This paper presents an entropy-driven exposure interpolation …

Very deep fully convolutional encoder–decoder network based on wavelet transform for art image fusion in cloud computing environment

T Chen, J Yang - Evolving Systems, 2023 - Springer
Big data video images contain a lot of information in the cloud computing environment.
There are usually many images in the same scene, and the information description is not …

Concealed-Fault Detection in Low-Amplitude Tectonic Area—An Example of Tight Sandstone Reservoirs

E Wang, J Zhang, G Yan, Q Yang, W Zhao, C Xie, R He - Minerals, 2021 - mdpi.com
Fault detection is important to seismic interpretation, especially for tight oil and gas
reservoirs. Generally speaking, large-scale faults can be accurately imaged and are easy to …

Research on Low‐Resolution Image Fusion Algorithm Based on Deep Learning

Y Zhang - Scientific Programming, 2022 - Wiley Online Library
The emergence of portable devices provides great convenience for image acquisition, but
the image resolution is too low, which affects the identification and use of the image …

Detection of disease in fresh fruits using convolution neural network by comparing with KNN to maximize the accuracy and sensitivity

BA Babu, P Dass - AIP Conference Proceedings, 2024 - pubs.aip.org
The goal of the research is detection of disease in fresh fruits. The sensitivity and accuracy
was calculated and compared with the k-nearest neighbor (KNN) classifiers. Materials and …

[PDF][PDF] Concealed-Fault Detection in Low-Amplitude Tectonic Area—An Example of Tight Sandstone Reservoirs. Minerals 2021, 11, 1122

E Wang, J Zhang, G Yan, Q Yang, W Zhao, C Xie, R He - 2021 - academia.edu
Fault detection is important to seismic interpretation, especially for tight oil and gas
reservoirs. Generally speaking, large-scale faults can be accurately imaged and are easy to …