A review on image enhancement with deep learning approach
Amanjot Kaur and Gagandeep
Abstract
Deep learning is presently a dynamic research zone in machine learning and pattern recognition society. It has importance in an expansive zone of applications, for example, speech recognition, natural language processing, and computer vision. The procedures created from deep learning research have just been affecting the exploration of image enhancement. Images caught in low-light conditions more often than not experience the ill effects of low difference, which expands the trouble of consequent PC vision errands in an incredible extent. Many applications mean to upgrade brilliance, differentiate and decrease noisy content from the images in an on-load up constant manner. We demonstrate that a variation of the stacked-inadequate denoising auto encoder can figure out how to adaptively improve and denoise from artificially obscured and disruption included preparing cases.
Keyword
Deep learning, Image enhancement, Image denoising, Auto encoder, Neural networks.