Directional moving averaging interpolation for bilinear texture mapping

Kou-chang Chen; Chang-Lin Huang

doi:10.1117/12.186021

16 September 1994 Directional moving averaging interpolation for bilinear texture mapping

Kou-chang Chen, Chang-Lin Huang

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186021
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

In image wrapping, the post-filtering is necessary to avoid aliasing effect. Here, we develop a hybrid space-variant directional filtering for post-processing. In order to reduce the computation, we classify the filter area as three blocks: constant, oriented, and irregular. The constant and irregular blocks are local average filtering and elliptical weighted average filtering. In oriented model, we propose a new filtering method called elliptical weighted adaptive directional moving average filter. In the experiments, we show that our method may correct the distorted images and have better results, with better subjective quality, especially with high magnification ratio, such as four times or more.

Citation Download Citation

Kou-chang Chen and Chang-Lin Huang "Directional moving averaging interpolation for bilinear texture mapping", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186021

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