👉 Image engineering involves the manipulation and enhancement of digital images to improve their quality, extract meaningful information, or prepare them for specific applications. This process encompasses a range of techniques, including noise reduction, contrast enhancement, edge detection, and feature extraction, often using algorithms from computer vision and machine learning. Image engineering can also involve more complex operations such as image segmentation, super-resolution, and generative modeling. The ultimate goal is to transform raw image data into a form that is more useful for analysis, visualization, or further processing, thereby unlocking deeper insights and enabling advanced applications in fields like medical imaging, autonomous driving, and digital art.
