An Effective Checkerboard Calibration Technique for a Stereo Camera System DOI

Vaidehi Satushe,

Vibha Vyas,

Preshit Gujar

et al.

Published: Dec. 14, 2023

One of the most important abilities human vision system is capacity to perceive environment in three dimensions. Due spatial separation between two eyes horizontal direction, images produced are different from one another. These results served as basis for in-depth investigation into extraction depth or more taken same scene varied angles, giving impression three-dimensional shapes. The space approximated by calculating pixel difference stereo pictures reality. This research describes a framework creating disparity map and order minimize reduce issues that now present. Multiple cameras becoming common mobile devices, these may be utilised sensing. However, because they frequently contain variety attributes, such resolutions, deviations, fields view, using raw difficult. As part this study, we propose evaluate techniques quickly easily acquiring several matter 0.346 seconds.

Language: Английский

Equivariant Multi-Modality Image Fusion DOI
Zixiang Zhao, Haowen Bai, Jiangshe Zhang

et al.

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Journal Year: 2024, Volume and Issue: abs/2004.10934, P. 25912 - 25921

Published: June 16, 2024

Citations

19
LightingFormer: Transformer-CNN hybrid network for low-light image enhancement DOI

Cong Bi,

Wenhua Qian, Jinde Cao

et al.

Computers & Graphics, Journal Year: 2024, Volume and Issue: unknown, P. 104089 - 104089

Published: Sept. 1, 2024

Language: Английский

Citations

2
Display Visibility Improvement Through Content and Ambient Light-Adaptive Image Enhancement DOI Creative Commons
Junmin Lee, Heejin Lee, Seunghyun Lee

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 87902 - 87916

Published: Jan. 1, 2023

An image in a display device under strong illuminance can be perceived as darker than the original due to nature of human visual system (HVS). In order alleviate this degradation terms software, existing schemes employ global luminance compensation or tone mapping. However, since such approaches focus on restoring only, it has fundamental drawback that chrominance cannot sufficiently restored. Also, previous seldom provide acceptable visibility because does not consider content an input image. Furthermore, they mainly quality, may show unsatisfactory quality for certain local areas. This paper introduces VisibilityNet, neural network model designed restore both and luminance. By leveraging we generate optimally enhanced dataset tailored ambient light conditions. employing generated convolutional (CNN), estimate weighted piece-wise linear enhancement curves (WPLECs) take into account content. These WPLECs effectively enhance contrast by addressing aspects. Ultimately, through utilization salient object detection algorithm emulates HVS, is achieved only overall region but also visually We verified performance proposed method comparing with five two quantitative metrics built ourselves. Experimental findings substantiate surpasses alternative significantly improving visibility.

Language: Английский

Citations

1
Use of CNNs for Estimating Depth from Stereo Images DOI

Vaidehi Satushe,

Vibha Vyas

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 45 - 58

Published: Jan. 1, 2024

Language: Английский

Citations

0
基于深度学习的光场图像重建与增强综述（特邀） DOI

肖泽宇 Xiao Zeyu,

熊志伟 Xiong Zhiwei,

王立志 Wang Lizhi

et al.

Laser & Optoelectronics Progress, Journal Year: 2024, Volume and Issue: 61(16), P. 1611015 - 1611015

Published: Jan. 1, 2024

Citations

0
An Effective Checkerboard Calibration Technique for a Stereo Camera System DOI

Vaidehi Satushe,

Vibha Vyas,

Preshit Gujar

et al.

Published: Dec. 14, 2023

One of the most important abilities human vision system is capacity to perceive environment in three dimensions. Due spatial separation between two eyes horizontal direction, images produced are different from one another. These results served as basis for in-depth investigation into extraction depth or more taken same scene varied angles, giving impression three-dimensional shapes. The space approximated by calculating pixel difference stereo pictures reality. This research describes a framework creating disparity map and order minimize reduce issues that now present. Multiple cameras becoming common mobile devices, these may be utilised sensing. However, because they frequently contain variety attributes, such resolutions, deviations, fields view, using raw difficult. As part this study, we propose evaluate techniques quickly easily acquiring several matter 0.346 seconds.

Language: Английский

Citations

0