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Underwater image enhancement: a comprehensive review, recent trends, challenges and applications
The mysteries of deep-sea ecosystems can be unlocked to reveal new sources, for
develo** medical drugs, food and energy resources, and products of renewable energy …
develo** medical drugs, food and energy resources, and products of renewable energy …
Underwater vision enhancement technologies: A comprehensive review, challenges, and recent trends
Cameras are integrated with various underwater vision systems for underwater object
detection and marine biological monitoring. However, underwater images captured by …
detection and marine biological monitoring. However, underwater images captured by …
Underwater image enhancement via weighted wavelet visual perception fusion
Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …
scattering and absorption of light, but these degraded-quality underwater images are …
Underwater image enhancement by attenuated color channel correction and detail preserved contrast enhancement
An underwater image often suffers from quality degradation issues, such as color deviations,
low contrast, and blurred details, due to the absorption and scattering of light. In this article …
low contrast, and blurred details, due to the absorption and scattering of light. In this article …
Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks
P Jiang, Y Chen, B Liu, D He, C Liang - Ieee Access, 2019 - ieeexplore.ieee.org
Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple
leaf diseases that severely affect apple yield. However, the existing research lacks an …
leaf diseases that severely affect apple yield. However, the existing research lacks an …
Nas-unet: Neural architecture search for medical image segmentation
Y Weng, T Zhou, Y Li, X Qiu - IEEE access, 2019 - ieeexplore.ieee.org
Neural architecture search (NAS) has significant progress in improving the accuracy of
image classification. Recently, some works attempt to extend NAS to image segmentation …
image classification. Recently, some works attempt to extend NAS to image segmentation …
[HTML][HTML] A deep learning enabled multi-class plant disease detection model based on computer vision
In this paper, a deep learning enabled object detection model for multi-class plant disease
has been proposed based on a state-of-the-art computer vision algorithm. While most …
has been proposed based on a state-of-the-art computer vision algorithm. While most …
An approach for de-noising and contrast enhancement of retinal fundus image using CLAHE
Now-a-days medical fundus images are widely used in clinical diagnosis for the detection of
retinal disorders. Fundus images are generally degraded by noise and suffer from low …
retinal disorders. Fundus images are generally degraded by noise and suffer from low …
An experimental-based review of image enhancement and image restoration methods for underwater imaging
Underwater images play a key role in ocean exploration but often suffer from severe quality
degradation due to light absorption and scattering in water medium. Although major …
degradation due to light absorption and scattering in water medium. Although major …
A survey of sentiment analysis based on transfer learning
R Liu, Y Shi, C Ji, M Jia - IEEE access, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet industry, sentiment analysis has grown into one of
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …