Apply deep learning to image processing applications by using Deep Learning Toolbox™ together with Image Processing Toolbox™.
This example shows how to remove Gaussian noise from an RGB image.
This example shows how to train a Very-Deep Super-Resolution (VDSR) neural network, then use a VDSR network to estimate a high-resolution image from a single low-resolution image.
This example shows how to train a denoising convolutional neural network (DnCNN), then use the network to reduce JPEG compression artifacts in an image.
This example shows how to train a multiscale context aggregation network (CAN) that is used to approximate an image filtering operation.