Superresolution based on low-resolution warped images

Robert A. Gonsalves; Farbod Khaghani

doi:10.1117/12.452432

21 November 2002 Super-resolution based on low-resolution warped images

Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.452432
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Super-resolution based on sequences of low-resolution images has many applications. Among these is improving the image quality of video images, particularly images of historical interest and images from security cameras. Successive frames have slightly different views, or projections, of the object. Not unlike the methods used in computerized tomography, these projections can be combined to produce an image with better resolution than any of the low-resolution views. We observe that in real images even the simplest objects are warped in successive frames. We estimate the warping parameters of each frame and then estimate the object by iterative deconvolution. This forces an appropriate match between a model for the data and the actual data. We show computer simulations of the method and we show some experimental results.

Citation Download Citation

Robert A. Gonsalves and Farbod Khaghani "Super-resolution based on low-resolution warped images", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.452432

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