Variational image feature extraction refers to using techniques from variational calculus to extract meaningful image features such as edges, textures, and shapes by minimizing energy functionals. This approach offers a powerful framework for image processing tasks like denoising, segmentation, and deblurring while respecting important properties such as regularity, smoothness, and sharp transitions.