Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss

S Roy, K Bhalla, R Patel - Multimedia Tools and Applications, 2024 - Springer
This tutorial demonstrates a novel mathematical analysis of histogram equalization
techniques and its application in medical image enhancement. In this paper, conventional …

RTLSeg: A novel multi-component inspection network for railway track line based on instance segmentation

D Wei, X Wei, Q Tang, L Jia, X Yin, Y Ji - Engineering Applications of …, 2023 - Elsevier
The condition monitoring of railway track line is one of the fundamental tasks to ensure the
safety of the railway transportation system. Railway track line is mainly made up of tracks …

Implementing bilinear interpolation with quantum images

F Yan, S Zhao, SE Venegas-Andraca, K Hirota - Digital Signal Processing, 2021 - Elsevier
A bilinear interpolation technique is proposed for flexible representations of quantum
images (FRQIs). In this process, several quantum modules were developed, including …

Lightweight defect detection equipment for road tunnels

J Liu, C Lv, G Lu, Z Zhao, B Han, F Guo… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The number of road tunnels has dramatically increased with extensive development of the
transportation infrastructure, while the ever-increasing operational tunnels bring great …

An H-grabcut image segmentation algorithm for indoor pedestrian background removal

X Huang, S Wang, X Gao, D Luo, W Xu, H Pang… - Sensors, 2023 - mdpi.com
In the context of predicting pedestrian trajectories for indoor mobile robots, it is crucial to
accurately measure the distance between indoor pedestrians and robots. This study aims to …

Video and image quality improvement using an enhanced optimized dehazing technique

A Ayoub, W El-Shafai, FEA El-Samie… - Multimedia Tools and …, 2024 - Springer
The detrimental effects of atmospheric haze frequently plague outdoor imagery. This
phenomenon arises from the scattering of light by minute particles within the ambient …

Target attention deep neural network for infrared image enhancement

D Wang, R Lai, J Guan - Infrared Physics & Technology, 2021 - Elsevier
The inherent high background radiation and low contrast of infrared images severely cripple
the precision of target detection and recognition. However, existing infrared image …

Sand dust images enhancement based on red and blue channels

F Shi, Z Jia, H Lai, S Song, J Wang - Sensors, 2022 - mdpi.com
The scattering and absorption of light results in the degradation of image in sandstorm
scenes, it is vulnerable to issues such as color casting, low contrast and lost details …

[HTML][HTML] Improving semantic segmentation accuracy in thin cloud interference scenarios by mixing simulated cloud-covered samples

H Wang, J Li, Z Shen, Z Zhang, L Bai, R Li… - International Journal of …, 2024 - Elsevier
Thin cloud interference presents a significant challenge for the semantic segmentation of
optical satellite imagery, which directly degrades the model accuracy and causes difficulties …

Financial ambiguity and oil prices

M Ayoub, M Qadan - Financial Innovation, 2024 - Springer
Recent theoretical developments in economics distinguish between risk and ambiguity
(Knightian uncertainty). Using state-of-the-art methods with intraday stock market data from …