Deep Convolutional Sparse Coding Networks for Image Fusion

Understand

Image fusion is a significant problem in many fields including digital photography, computational imaging and remote sensing, to name but a few.

• Recently, deep learning has emerged as an important tool for image fusion.
• This paper presents three deep convolutional sparse coding (CSC) networks for three kinds of image fusion tasks (i.e., infrared and visible image fusion, multi-exposure image fusion, and multi-modal image fusion).
• The CSC model and the iterative shrinkage and thresholding algorithm are generalized into dictionary convolution units.