Recovering badly exposed objects from digital photos using internet images

Florian M. Savoy; Vassilios Vonikakis; Stefan Winkler; Sabine Süsstrunk

doi:10.1117/12.2042460

7 March 2014 Recovering badly exposed objects from digital photos using internet images

Florian M. Savoy, Vassilios Vonikakis, Stefan Winkler, Sabine Süsstrunk

Author Affiliations +

Proceedings Volume 9023, Digital Photography X; 90230W (2014) https://doi.org/10.1117/12.2042460
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

In this paper we consider the problem of clipped-pixel recovery over an entire badly exposed image region, using two correctly exposed images of the scene that may be captured under different conditions. The first reference image is used to recover texture; feature points are extracted along the boundaries of both the source and reference regions, while a warping function deforms the reference region to fit inside the source. The second reference is used to recover color by replacing the mean and variance of the texture reference image with those of the color reference. A user study conducted with both modified and original images demonstrates the benefits of our method. The results show that a majority of the enhanced images look natural and are preferred to the originals.

Citation Download Citation

Florian M. Savoy, Florian M. Savoy, Vassilios Vonikakis, Vassilios Vonikakis, Stefan Winkler, Stefan Winkler, Sabine Süsstrunk, Sabine Süsstrunk, "Recovering badly exposed objects from digital photos using internet images", Proc. SPIE 9023, Digital Photography X, 90230W (7 March 2014); doi: 10.1117/12.2042460; https://doi.org/10.1117/12.2042460

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years