Abstract

Image processing finds applications in various fields, including medicine, remote sensing, surveillance, entertainment, and scientific research by using various algorithms and techniques. It involves transforming, enhancing, and extracting information from images to improve their quality, interpret their content, or make them suitable for specific applications.Deep learning algorithms are designed to automatically learn hierarchical representations of data through multiple layers of interconnected artificial neurons, known as artificial neural networks. These networks are organized into input, hidden, and output layers, with each layer consisting of numerous interconnected nodes or units called neurons. Each neuron applies a mathematical operation to the inputs it receives and passes the result to the next layer.When deep learning algorithms are applied to image processing, they can perform a wide range of tasks such as image classification, object detection, image segmentation, image generation, and image enhancement.

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