Image Super Resolution using Deep Learning

6,000.00

In this deep learning project image super resolution is done through neural networks

Platform : Matlab

Delivery : One Working Day

Support : Online Demo ( 2 Hours)

100 in stock

SKU: Image super resolution using Deep Learning Categories: ,

Description

Image super resolution using Deep Learning

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. In this survey, we aim to give a survey on recent advances of image super-resolution techniques using deep learning approaches in a systematic way. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, we also cover some other important issues, such as publicly available benchmark datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future directions and open issues which should be further addressed by the community in the future.

Demo Video

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Additional information

Weight 1.000000 kg

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