IMAGE RESTORATION AND ENHANCEMENT USING DEEP LEARNING
Surbhi Sarode, Shunottara Sarade, Sanjana Meshram, Twinkle Kokande, Ashish Palandurkar · International Journal of Engineering Applied Sciences and Technology · 2020
During the process of image acquisition, sometimes images are degraded because of various reasons like low resolution of camera, motion blur, noise etc.This paper presents the work associated with the Image Restoration & Enhancement techniques.The process of recovering degraded image is known as Image Restoration.Image restoration includes denoising image, image inpainting, etc.Here we proposed Convolution Neural Network (CNN) with Median Filter for removing noise, Region filling Exemplar Based Inpainting Algorithm for image inpainting.Image enhancement is one amongst the problem in image processing.Haze, low lighting etc. are the various problems in images.The aim of Image enhancement is to process an image such that result is more suitable than original image for specific application.Here for haze removal we implement dark channel prior algorithm and for lightning low-light image we proposed functions.Image enhancement improves the appearance of the image.