A Review on Application of Deep Learning in Thermography

Deep Learning is a new domain of Machine learning research, with the objective of moving Machine Learning closer to human minds. In neural networks, there are two sets of neurons: ones that receive an input signal and another one that send an output signal. The input layer receives an input and passes a modified version of the input to the next layer. In a deep network, there are many layers between the input and output, allowing the algorithm to use multiple processing layers, composed of multiple linear and non-linear transformations. Deep learning can be applied for image compression, image sharpening, image completion, image transformation and also in image caption research. Thermography is a study on heat distribution using infrared images. The main purpose of this paper is to review the emerging research work of deep learning on thermography.