Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Missing data correction in still images and image sequences
Proceedings of the tenth ACM international conference on Multimedia
On Restoration of Degraded Cinematic Sequences by Means of Digital Image Processing
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Automatic text detection and removal in video sequences
Pattern Recognition Letters
Practical, Unified, Motion and Missing Data Treatment in Degraded Video
Journal of Mathematical Imaging and Vision
Open Systems & Information Dynamics
Computational Intelligence and Security
Fast and Efficient MRF-Based Detection Algorithm of Missing Data in Degraded Image Sequences
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A spatio-temporal auto regressive model for frame rate upconversion
IEEE Transactions on Circuits and Systems for Video Technology
Matte-based restoration of vintage video
IEEE Transactions on Image Processing
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Automatic detection and restoration of frame pixel-shift in videos
Multimedia Tools and Applications
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
A multi-scale image inpainting algorithm based on GMRF model
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A motion-aligned auto-regressive model for frame rate up conversion
IEEE Transactions on Image Processing
Archive film restoration based on spatiotemporal random walks
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
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This paper presents a number of model based interpolation schemes tailored to the problem of interpolating missing regions in image sequences. These missing regions may be of arbitrary size and of random, but known, location. This problem occurs regularly with archived film material. The film is abraded or obscured in patches, giving rise to bright and dark flashes, known as “dirt and sparkle” in the motion picture industry. Both 3-D autoregressive models and 3-D Markov random fields are considered in the formulation of the different reconstruction processes. The models act along motion directions estimated using a multiresolution block matching scheme. It is possible to address this sort of impulsive noise suppression problem with median filters, and comparisons with earlier work using multilevel median filters are performed. These comparisons demonstrate the higher reconstruction fidelity of the new interpolators