Improvement of texture reconstruction based on underlying pattern modification

Mami Nagoya; Tomoaki Kimura; Hiroyuki Tsuji

doi:10.1117/12.2591014

13 March 2021 Improvement of texture reconstruction based on underlying pattern modification

Mami Nagoya, Tomoaki Kimura, Hiroyuki Tsuji

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117660L (2021) https://doi.org/10.1117/12.2591014
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

In this paper, we propose a method for reconstructing rough patterns from a texture image while retaining fine texture information using deep learning. The proposed method is based on a deep neural network called pix2pix, which can learn the conversion process between input and output images. In the previous method, which is an improvement on pix2pix, two images were input: an original texture image to be edited and an editing pattern image to be reflected in it. However, these two images alone do not accurately reproduce the color of the original texture image. Therefore, we improve the previous method and improve the reproducibility of the pattern by inputting a pattern image that links the input original texture image to the editing pattern image. The effectiveness of the improved method was verified through several experiments. Future work is to improve the quality of the generated images to improve blur and reproduce accurate input texture information.

Citation Download Citation

Mami Nagoya, Tomoaki Kimura, and Hiroyuki Tsuji "Improvement of texture reconstruction based on underlying pattern modification", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117660L (13 March 2021); https://doi.org/10.1117/12.2591014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available