Grayscale image colorization using deep learning approach
βοΈ Authors
Salwa Mohammed Nejrs Corresponding
π Abstract
In todayβs life, images become vital for various applications such as pattern recognition, security system, face recognition, remote sensing, etc. Due to the popularity of image processing applications, new fields begin to establish using the technology of image processing such as image colorization. In this paper, development of accurate convolutional neural network (CNN) based image colorization technique is performed. The performance of the said CNN to be optimized by optimizing each layer of the classifier. Performance of proposed classifier have been found equal to 95.91 Percent.