A comprehensive survey of recent trends in deep learning for digital images augmentation

NE Khalifa, M Loey, S Mirjalili - Artificial Intelligence Review, 2022 - Springer
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …

Fractal microstructure of foods

E García-Armenta, GF Gutiérrez-López - Food Engineering Reviews, 2022 - Springer
Process engineering of food materials is strongly associated with their microstructure, which
quantification allows proper selection of equipment operating conditions, monitoring …

Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression

IF Ince, F Bulut, I Kilic, ME Yildirim, OF Ince - The Visual Computer, 2022 - Springer
In mathematical theory, the discrete cosine transform (DCT) is a lossless orthogonal
transformation method which means it outputs exactly the same values of the input after the …

Frontiers and developments of data augmentation for image: From unlearnable to learnable

G Lin, JZ Jiang, J Bai, YW Su, ZH Su, HS Liu - Information Fusion, 2025 - Elsevier
Data augmentation is a crucial technique for expanding training datasets, effectively
alleviating the overfitting issue that arises from limited training data in deep learning models …

Augdmc: Data augmentation guided deep multiple clustering

J Yao, E Liu, M Rashid, J Hu - Procedia Computer Science, 2023 - Elsevier
Clustering aims to group similar objects together while separating dissimilar ones apart.
Thereafter, structures hidden in data can be identified to help understand data in an …

[HTML][HTML] Recognition of necrotic regions in MRI images of chronic spinal cord injury based on superpixel

XX Bao, C Zhao, SS Bao, JS Rao, ZY Yang… - Computer Methods and …, 2023 - Elsevier
Background and objective The cystic cavity and its surrounding dense glial scar formed in
chronic spinal cord injury (SCI) hinder the regeneration of nerve axons. Accurate location of …

A self-supervised learning network for remote heart rate measurement

N Zhang, HM Sun, JR Ma, RS Jia - Measurement, 2024 - Elsevier
The rPPG technology is a facial video-based non-contact physiological parameter detection
technology, which has been widely used in the measurement of heart rate, respiration, blood …

Pressure-Insensitive Epidermal Thickness of Fingertip Skin for Optical Image Encryption

W Li, B Zhang, X Zhang, B Liu, H Li, S Wu, Z Li - Sensors, 2024 - mdpi.com
In this study, an internal fingerprint-guided epidermal thickness of fingertip skin is proposed
for optical image encryption based on optical coherence tomography (OCT) combined with …

Image analyses of artificially damaged carbon/glass/epoxy composites before and after impact load

B Öztaş, Y Korkmaz, Hİ Çelik - Heliyon, 2024 - cell.com
In recent years, there has been a widespread utilization of composite materials, particularly
in critical sectors such as aircraft manufacturing, where errors can have significant …

Enhancement of satellite images based on CLAHE and augmented elk herd optimizer

M Braik, MA Al-Betar, MA Mahdi, M Al-Shalabi… - Artificial Intelligence …, 2024 - Springer
Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …