| Paper: | TP-L1.5 |
| Session: | Challenges in Restoration for Media Production |
| Time: | Tuesday, September 18, 16:10 - 16:30 |
| Presentation: |
Special Session Lecture
|
| Title: |
UNSCENTED KALMAN FILTER FOR IMAGE ESTIMATION IN FILM-GRAIN NOISE |
| Authors: |
Gorthi Subrahmanyam; Indian Institute of Technology, Madras | | |
| | Ambasamudram Rajagopalan; Indian Institute of Technology, Madras | | |
| | R. Aravind; Indian Institute of Technology, Madras | | |
| Abstract: |
This paper presents a novel approach based on the unscented Kalman filter (UKF) for image estimation in film-grain noise. The image prior is modeled as non-Gaussian and is incorporated within the UKF frame work using importance sampling. A small carefully chosen deterministic set of sigma points is used to capture the prior and is propagated through film-grain nonlinearity to compute image statistics. Experimental results are given to demonstrate the efficacy of the proposed method. |
