Practice project for training and testing AutoEncoder and Convolutional AutoEncoder models for image reconstruction using TensorFlow and Keras.

Convolutional autoencoders are widely used in image processing, and have achieved remarkable success. This paper proposes a unified framework for image restoration problems based on convolutional ...

From a reconstruction perspective, the blocks in the pre-event scene are rebuilt from denoised versions of post-event blocks by means of convolutional denoising autoencoders. In order to perform this ...

The purpose of this paper is to investigate the ability of the infimal convolution regularization in curing the staircasing artifacts of the TV model in the SPECT reconstruction. We formulate the ...