Recursive framework for joint inpainting and de-noising of photographic films.
We address the problem of inpainting noisy photographs. We present a recursive image recovery scheme based on the unscented Kalman filter (UKF) to simultaneously inpaint identified damaged portions in an image and suppress film-grain noise. Inpainting of the missing observations is guided by a mask-dependent reconstruction of the image edges. Prediction within the UKF is based on a discontinuity-adaptive Markov random field prior that attempts to preserve edges while achieving noise reduction in uniform regions. We demonstrate the capability of the proposed method with many examples.
Subrahmanyam
G R K S
GR
Image Processing and Computer Vision Lab, Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai 600 036, India. saisubrahmanyam.gorthi@gmail.com
Rajagopalan
A N
AN
Aravind
R
R