Title
Interframe Robust Image Processing For Restoration Of Heavily Corrupted Old Movies
Abstract
The old film restoration involves the development of image processing technology. We focus on interframe image processing algorithms for the correction of film misalignment, flicker correction and the removal of blotches. In the digital restoration, the film is first read with a scanner, but the scanned sequence often suffers from irregular spatial vibration due to inaccurate frame alignment. Hence, we develop a robust correction method for estimating interframe misalignment separately from camera work and compensating for it. After the correction of interframe misalignment, we perform flicker correction. Flickers are defined as undesirable brightness fluctuations. We present a hierarchy of flicker-correction models for correcting old film flickers, and develop a nicker correction method which first estimates the correction-model parameters from the input sequence and then corrects its flickers according to the estimated model. Furthermore, we present a method for blotch removal. Blotch distortions are repaired with a blending-type filter. For blotch detection we employ our previously presented approach of the spatiotemporal continuity analysis. The simulations on really corrupted sequences have demonstrated that our interframe image processing techniques can reduce film misalignment and can remove flickers and blotches almost perfectly.
Year
DOI
Venue
2000
10.1117/12.386626
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2000, PTS 1-3
Keywords
Field
DocType
robust M-estimation, frame misalignment correction, flicker correction, blotch removal
Flicker,Computer vision,Computer science,Image processing,Artificial intelligence,Scanner,Digital restoration,Inter frame,Image restoration,Digital image processing,Brightness
Conference
Volume
ISSN
Citations 
4067
0277-786X
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Takahiro Saito110030.46
Takashi Komatsu211333.96
Toshiaki Ohuchi372.40
Takamasa Seto400.34