On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach

Authors:
A. C. Kokaram
Affiliations:
Electr. Eng. Dept., Trinity Coll., Dublin, Ireland
Venue:
IEEE Transactions on Image Processing
Year:
2004

Citing 0
Cited 18

Efficient detection of temporally impulsive dirt impairments in archived films

Signal Processing
A statistical approach to the problem of restoring damaged and contaminated images

Pattern Recognition
Improvement of Film Scratch Inpainting Algorithm Using Sobel Based Isophote Computation over Hilbert Scan Line

Computational Intelligence and Security
Pathological motion detection for robust missing data treatment

EURASIP Journal on Advances in Signal Processing
Matte-based restoration of vintage video

IEEE Transactions on Image Processing
Visual algorithms for post production

ACM SIGGRAPH 2009 Courses
Automatic detection and restoration of frame pixel-shift in videos

Multimedia Tools and Applications
Efficient optimization of inpainting scheme and line scratch detection for old film restoration

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Restoration of digitized video sequences: an efficient drop-out detection and removal framework

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scratch detection supported by coherency analysis of motion vector fields

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
No-reference image and video quality estimation: Applications and human-motivated design

Image Communication
Trainable blotch detection on high resolution archive films minimizing the human interaction

Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Archive film restoration based on spatiotemporal random walks

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Automatic segmentation and inpainting of specular highlights for endoscopic imaging

Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Optical flow guided TV-L1 video interpolation and restoration

EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
A block-oriented restoration in gray-scale images using full range autoregressive model

Pattern Recognition
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation

SIAM Journal on Imaging Sciences
Parallel architecture for hierarchical optical flow estimation based on FPGA

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

Image sequence restoration has been steadily gaining in importance with the increasing prevalence of visual digital media. The demand for content increases the pressure on archives to automate their restoration activities for preservation of the cultural heritage that they hold. There are many defects that affect archived visual material and one central issue is that of dirt and sparkle, or "blotches". Research in archive restoration has been conducted for more than a decade and this paper places that material in context to highlight the advances made during that time. The paper also presents a new and simpler Bayesian framework that achieves joint processing of noise, missing data, and occlusion.