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Low light image enhancement using Deep Retinex-Net model

Low light image enhancement using Deep Retinex-Net model

 

Author: Pratik Pophali

The objective of this case study is to build a model(Deep Retinex Decomposition model) using deep learning techniques like CNN, Encoder-decoder that will learn from the existing dataset of low and high quality images and will be able to convert any poor quality image given to it into the high quality image. Click here to read more!