Image Denoising via Sequential Ensemble Learning

This paper presents denoising of image using the convolutional neural network (CNN) model in deep learning. It has become an important task to remove noise from the image and restore a high-quality image in order to process image further for the purpose like object segmentation, detection, tracking etc. This analysis is done by adding 1% to 10% noise to the image and then applying CNN model to denoise it. Further, qualitative and quantitative analysis of the denoised image is performed. Here the CNN model mainly consists of the encoder and decoder layers that which will help in making the image to be denoised. The results from the analysis and experiment show that the CNN model can efficiently remove noise and restore the image details and data than any other traditional/standard image filtering techniques.

Keywords: Image denoising, noise, convolutional neural network, Deep Learning