Results 31 to 40 of about 12,142,372 (124)

Deep Regressor Networks for Blind Image Deblurring

, 2021
Image restoration concerns mainly smoothing noise and deblurring images that were corrupted either during acquisition or transmission. Since traditional deconvolution filters are highly dependent on specific kernels or prior knowledge to guide the ...
Rafael G. Pires, Papa, João P. [UNESP], Joao P. Papa, Pires, Rafael G. [UNESP], Daniel F. S. Santos, Leandro A. Passos, Passos, Leandro A. [UNESP], Santos, Daniel F.S. [UNESP]   +7 more
core   +1 more source

Digital image deblurring techniques: a comprehensive survey [PDF]

, 2022
Blur in images is the most challenging issue in image processing, which is caused via multiple external factors. Deblurring is the most important process in restoring the sharpness of the original image, so many approaches and techniques were proposed ...
COJOCARI-GONCEAR, Maxim
core   +1 more source

Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel estimation is
Jie Fang, Xiaoqian Cao, Dianwei Wang, Shengjun Xu   +3 more
doaj   +1 more source

Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior

Complexity, 2019
Image matching is important for vision-based navigation. However, most image matching approaches do not consider the degradation of the real world, such as image blur; thus, the performance of image matching often decreases greatly. Recent methods try to
Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao   +3 more
doaj   +1 more source

SID: Sensor-Assisted Image Deblurring System for Mobile Devices

IEEE Access, 2019
Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang, Jun Tan, Tianzhang Xing, Feng Chen, Jinping Niu   +4 more
doaj   +1 more source

Thermal Image Reconstruction Using Deep Learning

IEEE Access, 2020
A high-resolution thermal camera is very expensive and is thus difficult to be used. Furthermore, thermal images become blurred in various cases of object motion, camera shaking, and camera defocusing. To solve these problems, a previous super-resolution
Ganbayar Batchuluun, Young Won Lee, Dat Tien Nguyen, Tuyen Danh Pham, Kang Ryoung Park   +4 more
doaj   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Motion Deblurring from a Single Image [PDF]

, 2018
With the information explosion, a tremendous amount photos is captured and shared via social media everyday. Technically, a photo requires a finite exposure to accumulate light from the scene. Thus, objects moving during the exposure generate motion blur
Jin, Meiguang
core  

3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback

Advanced Intelligent Systems, EarlyView.
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu, Sangwon Lee, Min Jun Kim   +2 more
wiley   +1 more source

Zero-shot realistic image deblurring with consistency model

Complex & Intelligent Systems
At present, diffusion-based image deblurring methods rely on paired blurry-clear datasets for training, and the types of blur causes in image synthesis cannot yet be determined with sufficient precision to model real-world scene blur datasets ...
Zhaohan Wang, Chengjun Chen, Chenggang Dai   +2 more
doaj   +1 more source