Image Style Conversion using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

Image Style Conversion using Deep Convolutional Neural Network

Published:2022-09-21 Issue: Volume:20 Page:122-129
ISSN:2224-2899
Container-title:WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
language:en
Short-container-title:

Author:

Wang Lingling¹,Dong Xingguang¹

Affiliation:

1. School of management science and Engineering, Anhui University of Finance and Economics Bengbu 233000, CHINA

Abstract

At present, research on image style conversion based on deep learning is increasing, different from the conventional style conversion, this paper is based on convolutional neural networks, using the InceptionV3 model trained under ImageNet dataset. By using Deep Dream technology, which gives a dull and ordinary background picture a warm color, makes the picture content richer, the texture is very softer and more exquisite.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Economics and Econometrics,Finance,Business and International Management

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