Results 61 to 70 of about 4,335 (202)
Light Field Blind Motion Deblurring
, 2017 We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions.
Ng, Ren +2 more
core +1 more source
NBD-GAP: Non-Blind Image Deblurring without Clean Target Images
2022 IEEE International Conference on Image Processing (ICIP), 2022 Accepted at ICIP ...
Nair, Nithin Gopalakrishnan +2 more
openaire +2 more sources
From Nano Robotic Manipulation to Nano Manipulation Robot
SmartBot, Volume 1, Issue 3, September 2025.This review addresses a critical research gap by summarizing advancements in nano robotic manipulation, tracing its evolution from passive observation to autonomous nanomanipulation robots. It explores the interplay of observation, construction, and operation, unveiling fundamental principles of atomic‐scale control. The review establishes a systematic
Zhan Yang +6 more
wiley +1 more source
Single Image Defocus Deblurring Based on Structural Information Enhancement
IEEE AccessDefocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng +3 more
doaj +1 more source
Learning to Deblur Images with Exemplars
, 2018 Human faces are one interesting object class with numerous applications. While significant progress has been made in the generic deblurring problem, existing methods are less effective for blurry face images.
Hu, Zhe +3 more
core +1 more source
Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging
Advanced Functional Materials, Volume 35, Issue 23, June 5, 2025.A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv +15 more
wiley +1 more source
Adversarial Spatio-Temporal Learning for Video Deblurring
, 2018 Camera shake or target movement often leads to undesired blur effects in videos captured by a hand-held camera. Despite significant efforts having been devoted to video-deblur research, two major challenges remain: 1) how to model the spatio-temporal ...
Li, Hongdong +5 more
core +1 more source
Laser &Photonics Reviews, Volume 19, Issue 12, June 18, 2025.This review explores deconvolution techniques in optical coherence tomography (OCT), addressing resolution degradation from point‐spread functions (PSF). It reviews foundational principles (e.g., Richardson‐Lucy deconvolution) to advanced AI‐driven methods, emphasizing clinical translation and interdisciplinary collaboration. Real‐world implementations
Syeda Aimen Abbasi +6 more
wiley +1 more source
Total Fractional-Order Variation-Based Constraint Image Deblurring Problem
Mathematics, 2023 When deblurring an image, ensuring that the restored intensities are strictly non-negative is crucial. However, current numerical techniques often fail to consistently produce favorable results, leading to negative intensities that contribute to ...
Shahid Saleem +2 more
doaj +1 more source
Improved conditional diffusion model for image super‐resolution
IET Image Processing, Volume 19, Issue 1, January/December 2025.Our article introduces a diffusion model based on Mean‐Reverting Stochastic Differential Equations (SDE), leveraging ENAFBlocks to enhance noise prediction performance compared to traditional ResBlocks. The Mean‐Reverting SDE utilizes low‐resolution images as means to mitigate diffusion model randomness, while an LR Encoder captures hidden information ...
Rui Wang, Ningning Zhou
wiley +1 more source