Results 41 to 50 of about 4,876 (175)
, 2018 Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and super-resolution should
Banerjee, Sreya +4 more
core +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Learning to Extract a Video Sequence from a Single Motion-Blurred Image
, 2018 We present a method to extract a video sequence from a single motion-blurred image. Motion-blurred images are the result of an averaging process, where instant frames are accumulated over time during the exposure of the sensor.
Favaro, Paolo +2 more
core +1 more source
Adaptive blind image deblurring and denoising
Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 413-441, March 2026.Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang +2 more
wiley +1 more source
Multi‐Scale Transformer for Image Restoration
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 41-54, February 2026.ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi +6 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2013 In this paper, a novel video superresolution (SR) reconstruction approach using a coarse-to-fine registration and optimal interpolation strategy is proposed.
Zunshang Zhu +4 more
doaj +1 more source
Image Restoration Using Joint Statistical Modeling in Space-Transform Domain
, 2014 This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner. The main contributions are three-folds.
Gao, Wen +4 more
core +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes a low‐light image enhancement and denoising algorithm tailored for tunnel scenes based on computer vision and deep learning technologies. On this basis, a tunnel pedestrian detection method based on connected domain dynamic threshold segmentation is designed, which can reduce the computational resources for identifying pedestrian ...
Yudan Tian +4 more
wiley +1 more source
Optimized Pre-Compensating Compression
, 2018 In imaging systems, following acquisition, an image/video is transmitted or stored and eventually presented to human observers using different and often imperfect display devices.
Bruckstein, Alfred M. +2 more
core +1 more source
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Low‐light image enhancement is one of the fundamental challenges in computer vision, aiming to improve brightness, contrast, and color balance under insufficient illumination. In this work, we present a novel entropy–fidelity and deep white‐balance (EF–WB) framework that integrates information‐theoretic optimization with deep learning‐based color ...
Shahad J. Shahbaz +3 more
wiley +1 more source