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Nonuniform Illumination Correction Algorithm for Underwater Images Using Maximum Likelihood Estimation Method

Nonuniform Illumination Correction Algorithm for Underwater Images Using Maximum Likelihood Estimation Method

July 5, 2025 Category: Blog

Scattering and absorption of light is main reason for limited visibility in water.The suspended particles and dissolved chemical compounds in water are also responsible for scattering and absorption of light in water.The limited visibility in water results in degradation of underwater images.The visibility can be increased by using artificial light

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Multi-Branch Network for Color Image Denoising Using Dilated Convolution and Attention Mechanisms

July 5, 2025 Category: Blog

Image denoising is regarded as an ill-posed problem in computer vision tasks that removes additive noise from imaging sensors.Recently, several convolution neural network-based image-denoising methods have achieved remarkable advances.However, it is difficult for a simple denoising network to recover aesthetically pleasing images owing to the compl

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Genetic structure in neotropical birds with different tolerance to urbanization

July 5, 2025 Category: Blog

Abstract Gene flow in birds can be affected by urbanization depending on natural history traits and adaptability to habitat change.Contrasting results can be expected when comparing species with opposite resilience to urbanization.In this study, we assessed genetic diversity and structure for two bird species, the urban avoider white-eared ground-s

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Model predictions of long-lived storage of organic carbon in river deposits

July 5, 2025 Category: Blog

The mass of carbon stored as organic matter in terrestrial systems is sufficiently large to play an important role in the global biogeochemical cycling of CO2 and O2.Field measurements of radiocarbon-depleted particulate organic carbon (POC) in rivers suggest that terrestrial organic matter persists in surface environments over millennial (or great

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Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation

July 5, 2025 Category: Blog

In the field of earth observation (EO), continual learning (CL) algorithms have been proposed to deal with large datasets by Skin Tag Machine decomposing them into several subsets and processing them incrementally.The majority of these algorithms assume that data are, first, coming from a single source, and second, fully labeled.Real-world EO datas

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