Outdoor computer vision systems face significant challenges due to reduced visibility and severe color distortion in the images captured in sand-dust-affected environments. This study aims to improve ...

In the next phase, a novel Edge-preserving contrast enhancement method is applied to improve the visibility under sand-dust conditions. This method consists of CLAHE, a Gaussian blur filter, a Laplace ...

The activation function is crucial in artificial neural networks for transforming inputs into outputs, introducing nonlinearity necessary for learning intricate patterns and making precise predictions ...

A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement ...

A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement Abstract: Outdoor computer ...

Image restoration through denoising is a technique used to remove noise from noisy images generated by sensor malfunctions, environmental factors, lossy compression algorithms, electrical interference ...

Chili is one of the world's most extensively used spices. The changes in weather and environmental circumstances cause several diseases in chili leaves, which have an impact on yield of the spice. An ...

Non-linear activation units seen in artificial and deep neural networks are the hyperbolic tangent, sigmoid functions, and ReLu (Rectified Linear Unit).This research compares the performance of these ...