Share Email Print
cover

Proceedings Paper

Efficient edge line average interpolation algorithm for deinterlacing
Author(s): Tao Chen; Hong Ren Wu; Zhenghua Yu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, an efficient interpolation approach is proposed for deinterlacing within a single frame. On the basis of the edge-based line average (ELA) algorithm, two useful measurements are introduced within the analysis window in order to alleviate misleading decisions in determining the direction in which the interpolation is to be made. By efficiently estimating the directional spatial correlations of neighboring pixels, increased interpolation accuracy has been achieved. Additionally, the new method possesses a simple computation structure and is therefore easy to implement. Extensive simulations conducted for different images and video sequences have shown the efficacy of the proposed interpolator with significant improvement over previous ELA based algorithms in terms of both quantitative and perceived image quality.

Paper Details

Date Published: 30 May 2000
PDF: 8 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386618
Show Author Affiliations
Tao Chen, Monash Univ. (Australia)
Hong Ren Wu, Monash Univ. (Australia)
Zhenghua Yu, Monash Univ. (Australia)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

© SPIE. Terms of Use
Back to Top