Image interpolation based on a multi-resolution directional map

Eric Van Reeth; Pascal Bertolino; Marina Nicolas

doi:10.1117/12.872371

3 February 2011 Image interpolation based on a multi-resolution directional map

Eric Van Reeth, Pascal Bertolino, Marina Nicolas

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78700M (2011) https://doi.org/10.1117/12.872371
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

This paper describes an interpolation method that takes into account the edge orientation in order to avoid typical interpolation artifacts (jagging, staircase effects...). It is first based on an edge orientation estimation, performed in the wavelet domain. The estimation uses the multi-resolution features of wavelets to give an accurate and non-biased description of the frequency characteristics of the edges, as well as their orientation. The interpolation is then performed, using the edge orientation estimation, to improve a reference interpolation (cubic-spline for instance). This improvement is carried out by filtering the edges with a Gaussian kernel along their direction in order to smooth the contour in the direction parallel to the edge, which avoids disturbing variations across them (jagging and staircase effects). This technique also keeps the sharpness of the transition in the direction perpendicular to the contour to avoid blur. Results are presented on both synthetic and real images, showing the visual impact of the presented method on the quality of interpolated images. Comparisons are made with the usual cubic-spline interpolation, and with other edge-directed interpolation techniques to discuss the choices that have been made in our method.

Citation Download Citation

Eric Van Reeth, Pascal Bertolino, and Marina Nicolas "Image interpolation based on a multi-resolution directional map", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700M (3 February 2011); https://doi.org/10.1117/12.872371

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