Graph signal processing based underwater image enhancement techniques

Sharma, Shobha; Varma, Tarun

doi:10.1016/j.jestch.2021.09.005

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…在颜色通道的处理方面, 2021 年 Muniraj 等 [83] 提出了一种将颜色恒定框架与去雾化相结合的水下图像增强方法, 保留了图像的平滑纹理、边缘特征、无晕效应等视觉信息, 并且减少了伪影. 此外, 2022 年 Sharma 等 [90] 用图傅里叶变换和图小波滤波器替换传统的傅里叶变换和小波变换, 提出了两种基于图信号处理技术的水下影像增强方法.…”

Section: 涉水影像复原unclassified

涉水光学

Li¹

2024

Sci. Sin.-Inf.

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1) 含海洋光学, 水下光学.2) Vicinage earth, Vicinagearth. Vicinage 源于古法语/拉丁语的 visnage/vicinus('neighbor').IOP) 和表观光学特性 (apparent optical properties, AOP). 固有光学特性水体固有光学特性是自然水体本身的光学参数, 独立于环境光场. 常用的水体固有光学参量包括光谱吸收系数 (spectral absorption coefficient), 光谱散射系数 (spectral scattering coefficient), 光谱衰减系数 (spectral attenuation coefficient), 体散射函数 (volume scattering function), 后向散射系数 (backscatter coefficient), 前向散射系数 (forescatter coefficient), 光束衰减系数 (beam attenuation coefficient) 等.

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Section: 涉水影像复原unclassified

涉水光学

Li¹

2024

Sci. Sin.-Inf.

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“…Once the animal is recognized by the ultrasonic sensor, the alarm will be activated. The DHT 11 sensor is used to monitor humidity [18,19]. The DHT 11 sensor monitors the forest's temperature and humidity 24 hours a day, 7 days a week, and the values are saved in Ubidots.…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Approach to Diagnose the Animal Health Continuous Monitoring Using IoT Based Sensory Data

Kandepan¹,

Venkatesan²

2022

I2M

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Monitoring the health of humans in everyday life is quite challenging. Smart wearables have been increasingly important in recent technologies for monitoring and indicating our current health status, which is utilised to appropriately diagnose our health. Monitoring animals' health raises several concerns. We must wait for veterinary specialists to assess and diagnose whether the animals are suffering only in known regions. The result is delayed treatment and degradation of animal health. Therefore, primary health diagnosis is needed. However, mounting equipment was required to identify these features. This research leads to the recognition of the behaviour of animals through this technique, which facilitates the assessment of the health of animals. The use of Wireless Sensor Networks (WSN) and IoT features an Animals Smart Healthcare Monitoring (ASHM) system for this research to track animal behavior with high precision using sensors and to detect animals' health with great precision. We proposed designing a system that would track the movement and health of an animal. This can be achieved by developing a system with animal smart health monitoring system. The sensor can be mounted on the animal body to get the desired physiological parameters like temperature, heart rate, respiratory rate, ECG, and Blood pressure. This health surveillance system method has reduced the mean latency by 75% and provides results with an output accuracy of 98%.

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Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality

Mungekar¹,

Jayagowri²

2023

Multimed Tools Appl

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Graph signal processing based underwater image enhancement techniques

Cited by 7 publications

References 30 publications

涉水光学

涉水光学

A Novel Approach to Diagnose the Animal Health Continuous Monitoring Using IoT Based Sensory Data

Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality

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