Fast and efficient intra-frame deinterlacing using observation model based bilateral filter

Recently, a few bilateral filter based interpolation and intraframe deinterlacing algorithms have been proposed, but these algorithms only use prior information (bilateral filter). In this paper, we propose an efficient and fast intra-frame deinterlacing algorithm using an observation model based bi...

Full description

Saved in:
Bibliographic Details
Published in2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5819 - 5823
Main Authors Jakhetiya, Vinit, Au, Oscar C., Jaiswal, Sunil, Luheng Jia, Hong Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Approximation algorithms
Bilateral filter
Correlation
Deinterlacing
Interpolation
Intra-frame
Kernel
Kernel ridge regression
Least squares approximations
Prediction algorithms
Signal processing algorithms
Online AccessGet full text

Cover

More Information
Summary:Recently, a few bilateral filter based interpolation and intraframe deinterlacing algorithms have been proposed, but these algorithms only use prior information (bilateral filter). In this paper, we propose an efficient and fast intra-frame deinterlacing algorithm using an observation model based bilateral filter (using both likelihood and prior information). Our proposed algorithm is also able to use approximated horizontal pixels for the deinterlacing, which results into the better prediction of the edges. From extensive experiments, it is observed that the proposed algorithm has the capability of provide satisfactory results in terms of both objective and subjective quality.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2014.6854719