Artistic Natural Images Generation Using Neural Style Transfer

Rendering an image in a different form of style is a difficult task in image processing. And the representation of an image is very important as an image contains a lot of information. To represent the image uniquely, the Neural Style Transfer technique plays an important role. Neural Style Transfer refers to a technique of generating new images in the style of another image and generates new images as if they are oil painted images. In this paper, we have modified different types of natural images of Bangladesh with the help of Neural Style Transfer. It is a technique that is used to blend the content image and style image in an optimized way and gives a creative output image that is very interesting and attractive. We have transformed the input image for minimizing its content distance and style distance with the help of the content image and style image using the VGG19 network model.