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Heuristic Approach for Low Light Image Enhancement using Deep Learning Technique
International Journal for Research in Applied Science and Engineering Technology
Due to low photon count and low Signal to Noise Ratio (SNR), low light imaging becomes more challenging. Images taken in a short exposure get affected by noise while images taken in a long exposure can be blurry. Different methods like image denoising, deblurring, and image enhancement are existing, but at extreme conditions their effectiveness is limited. A dataset that includes raw short exposure low light images and corresponding long exposure images is used for the development of adoi:10.22214/ijraset.2020.6351 fatcat:dnqwsic66vbc7f23uoxly4yxfm