Results 1 to 10 of about 4,843 (158)

Airborne SAR Autofocus Based on Blurry Imagery Classification

Remote Sensing, 2021
Existing airborne SAR autofocus methods can be classified as parametric and non-parametric. Generally, non-parametric methods, such as the widely used phase gradient autofocus (PGA) algorithm, are only suitable for scenes with many dominant point targets,
Hanwen Yu, Gang Xu, Jianlai Chen
exaly   +3 more sources

Efficient Two-Stage Autofocus for Micro-Assembly Based on Joint Spatial-Frequency Image Quality Assessment. [PDF]

J Imaging
Reliable autofocus is a fundamental prerequisite for precise positioning in micro-assembly systems, where complex reflections, scale variations, and narrow depth-of-field often degrade the robustness of traditional sharpness metrics.
Zhang J, Kang T, Zhao X, Sun M, Yang Y.
europepmc   +2 more sources

Using Beads as a Focus Fiduciary to Aid Software-Based Autofocus Accuracy in Microscopy. [PDF]

Bio Protoc
Brightfield microscopy is an ideal application for studying live cell systems in a minimally invasive manner. This is advantageous in long-term experiments to study dynamic cellular processes such as stress response.
Gibson I, Osterlund EJ, Truant R.
europepmc   +2 more sources

Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images

Sensors, 2021
Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and ...
Haemin Lee
exaly   +3 more sources

Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine

Remote Sensing, 2021
Inaccurate Synthetic Aperture Radar (SAR) navigation information will lead to unknown phase errors in SAR data. Uncompensated phase errors can blur the SAR images. Autofocus is a technique that can automatically estimate phase errors from data.
Shuyuan Yang, Zhixi Feng, Quanwei Gao
exaly   +3 more sources

Deep Learning-Assisted Autofocus for Aerial Cameras in Maritime Photography. [PDF]

J Imaging
To address the unreliable autofocus problem of drone-mounted visible-light aerial cameras in low-contrast maritime environments, this paper proposes an autofocus system that combines deep-learning-based coarse focusing with traditional search-based fine ...
Liu H, Li Y, Xu S, Wang H, Fu Q, Jiang H.   +5 more
europepmc   +2 more sources

Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learning. [PDF]

Microsyst Nanoeng
Microscopic imaging is a critical tool in scientific research, biomedical studies, and engineering applications, with an urgent need for system miniaturization and rapid, precision autofocus techniques.
Zhang J, Fu YF, Shen H, Liu Q, Sun LN, Chen LG.   +5 more
europepmc   +2 more sources

Deep Learning-Based Dynamic Region of Interest Autofocus Method for Grayscale Image. [PDF]

Sensors (Basel)
In the field of autofocus for optical systems, although passive focusing methods are widely used due to their cost-effectiveness, fixed focusing windows and evaluation functions in certain scenarios can still lead to focusing failures.
Wang Y, Wu C, Gao Y, Liu H.
europepmc   +2 more sources

A wavelet-guided transformer approach for autofocus in brightfield biological microscopy. [PDF]

Sci Rep
Autofocus plays a crucial role in Biological Microscopy by ensuring image clarity and improving operational efficiency. However, mainstream brightfield biological microscopes still rely on conventional autofocus methods, which suffer from poor real-time ...
Yang W, Lv M, Yu Z, Deng J.
europepmc   +2 more sources

Enhancing Autofocus in Non-Mydriatic Fundus Photography: A Fast and Robust Approach with Adaptive Window and Path-Optimized Search

Applied Sciences, 2023
Non-mydriatic fundus photography (NMFP) plays a vital role in diagnosing eye diseases, with its performance primarily dependent on the autofocus process.
Zeyuan Liu, Shufang Qiu, Huaiyu Cai, Yi Wang, Xiaodong Chen   +4 more
doaj   +1 more source