In this talk we analyze evolutionary integral based methods for image restoration. In these models, the image evolves according to Volterra type equations and the diffusion is controlled by a convolution kernel. The discussion will involve well-posedness, scale-space properties and long-term behaviour in the continuous and discrete cases, and will include some numerical experiments to illustrate the performance of the models in image denoising and contour detection.