Colorization Of Grayscale Images Using Deep Learning

With the advent of high-resolution photographs, the task of transforming monochrome photos into full color remains difficult. Black and white images are muddy and frustrating to work with. Therefore, numerous methods of colorizing the original black-and-white photos will be employed in this project. Adobe Photoshop and MATLAB are only two examples of software that can transform monochrome photos into full color. Adobe Photoshop presents a challenge since coloring just one image might take as long as one month. It calls for a lot of studies. Up to twenty separate layers of red, green, and blue hues are required to get the desired effect on a single face. In addition, a MATLAB expert is required for this task. Both approaches require the expertise of trained individuals. The proposed algorithm aims to efficiently color the image so that it may be used by everyone. The combination of image processing and deep learning had been used to create a model that can instantly identify colors in monochrome photos. As videos are essentially a series of still photos being animated, the technique employed here may be used to add color to those as well in the future.