Applying Neural Style Transfer to Transform Images into a Different Style Domain by the NST Method
A. Vishnukumar, Ethala Kamalanaban, S. Sri Gugan, Abdul Gafoor A, T Mukesh · Research Square · 2023
Abstract A group of software algorithms known as neural style transfer (NST) alter digital pictures or videos to take on the look or visual style of another image. It is a machine learning-based optimization approach. In this study, we employ software that translates a picture's style onto a second image, referred to as the content image. Images may be encrypted, and the data can then be transferred to the recipient as an encrypted picture. The purpose of picture alteration is served through the usage of deep neural networks. The NST method may be used with this paper to modify two photos in photo-editing software. The created image can be outputted in whatever size the user desires. Hence The neural style transfer.