Results 51 to 60 of about 739 (170)
Sea Ice Floe Segmentation in Close‐Range Optical Imagery Using Active Contour and Foundation Models
Earth and Space Science, Volume 13, Issue 2, February 2026.Abstract The size of sea ice floes in the marginal ice zone (MIZ) is a key factor influencing ice coverage, albedo, wave propagation, and ocean–atmosphere energy exchanges. Floe size can be observed by processing visual‐range imagery from ships, aircraft, or satellites.
Giulio Passerotti +5 more
wiley +1 more source
Artificial Compound Eye for Clear Vision in Harsh Environment
Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.Artificial compound eye (CE) with exceptional imaging and motion tracking capturing the movement of a spider and swinging thread with a wide field of view. Surface modifications ensure clear vision of alphabetic letters in rain and fog. Images captured in fog with CE remains visible 3 times longer than simple eyes (SE).
Kehinde Kassim +6 more
wiley +1 more source
SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Haze contains floating particles in the air which can result in image quality degradation and visibility reduction in airborne data. Haze removal task has several applications in image enhancement and can improve the performance of automatic image ...
M. Madadikhaljan +5 more
doaj +1 more source
Let Segment Anything Help Image Dehaze
, 2023 The large language model and high-level vision model have achieved impressive performance improvements with large datasets and model sizes. However, low-level computer vision tasks, such as image dehaze and blur removal, still rely on a small number of ...
Chen, Shiqi +4 more
core
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The images captured during haze, murkiness and raw weather has serious degradation in them. Image dehazing of a single image is a problematic affair. While already-in-use systems depend on high-quality images, some Computer Vision applications, such self-driving cars and image restoration, typically use input from data that is of poor quality.
openaire +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes a novel image enhancement method, WCTE, which integrates Haar wavelet transform and adaptive CLAHE to improve the visibility of low‐contrast tablet images. Combined with the YOLOv11 model, this approach significantly boosts defect detection accuracy, especially for half‐grain and paste tabtal.
Zimei Tu +3 more
wiley +1 more source
A Model-Driven Deep Dehazing Approach by Learning Deep Priors
IEEE Access, 2021 Photos taken in hazy weather are usually covered with white masks and lose important details. Haze removal is a fundamental task and a prerequisite to many other vision tasks.
Dong Yang, Jian Sun
doaj +1 more source
RAW format fotografije i njegove mogućnosti [PDF]
, 2016 Kroz ovaj rad se analiziraju karakteristike RAW odnosno ,,sirovog" formata fotografije koji se uvelike koristi među profesionalnim fotografima zbog svoje iznimno velike mogućnosti naknadnom manipulacijom snimljenih podataka sa senzora.
Šimundić, Domagoj
core
Deep learning with multiple modalities : making the most out of available data [PDF]
, 2020 L’apprentissage profond, un sous domaine de l’apprentissage machine, est reconnu pour nécessiter une très grande quantité de données pour atteindre des performances satisfaisantes en généralisation. Une autre restriction actuelle des systèmes utilisant l’
De Blois, Sébastien
core
Progressive Knowledge Distillation for Edge‐Deployable Solder Joint Segmentation
IET Image Processing, Volume 20, Issue 1, January/December 2026.Solder‐Yolo is a lightweight deep learning model based on YOLOv8‐seg, designed for high‐precision solder joint inspection in FPC ribbon cables. It incorporates model pruning, knowledge distillation and a hierarchical context attention module to achieve 96.7% precision and 91.3% mAP while maintaining high inference speed.
Kunhong Li +4 more
wiley +1 more source