Deep attentive pixels for face super-resolution

Krit Duangprom; Sovann Chen; Supavadee Aramvith

doi:10.1117/12.2626136

30 April 2022 Deep attentive pixels for face super-resolution

Krit Duangprom, Sovann Chen, Supavadee Aramvith

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217727 (2022) https://doi.org/10.1117/12.2626136
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

Face super-resolution, successfully using fusion network approach, has successfully solved the problem of face image restoration. Recently, face attributes have been effectively used to guide the low-level feature point of the face to perform viable face recovery. First, the low-resolution image is enlarged into a super-resolution face image. Landmarks are estimated to guide the network to enhance the super-resolution image repeatedly. However, the face super-resolution network architecture parameter is redundant, and the learning efficiency is low on mapping input and target output. This paper proposes a deep attention pixel for face super-resolution, which applies an attention mechanism to optimize feature extraction and fuses the channel attention with facial landmarks heatmaps. Experimental results demonstrate that the proposed method achieves higher performance than other state-of-the-art face super-resolution methods.

Citation Download Citation

Krit Duangprom, Sovann Chen, and Supavadee Aramvith "Deep attentive pixels for face super-resolution", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217727 (30 April 2022); https://doi.org/10.1117/12.2626136

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Super resolution

Image fusion

Digital image correlation

Image enhancement

Feature extraction

Eye

Image restoration

Show All Keywords

Keywords/Phrases

Search In:

Publication Years