Method and apparatus for robust super-resolution video scaling

Details Method and apparatus for robust super-resolution video scaling Method and apparatus for robust super-resolution video scaling

2006-04-12

2011-11-08

Yenke, Brian (Department: 2422)

Television

Format conversion

Line doublers type

C348S458000, C348S581000, C348S452000, C348S700000, C348S701000, C345S660000, C382S298000

Reexamination Certificate

active

08054380

ABSTRACT:
A method and apparatus for scaling video images, which applies more particularly to techniques for converting video sequence formats and deinterlacing. The invention comprises a parameterized interpolation (101) which computes interpolations at each new point of the output. An insensitive interval estimation (102) computes an interval where the probability distribution of the output image value is estimated to have its maximum, and an insensitive loss calculation (103) derives for each interpolation value a negative log likelihood measurement from an interval-insensitive probability distribution. After a spatial regularization (104) the invention includes a minimum loss selection (105) which selects the minimum loss interpolation at each new point and provides it as an output image value. The invention also includes a total variation increment module and a directional matching error module that can penalize the insensitive loss, for the minimum loss selection.

REFERENCES:
patent: 5428398 (1995-06-01), Faroudja et al.
patent: 5661525 (1997-08-01), Kovacevic et al.
patent: 5936676 (1999-08-01), Ledinh et al.
patent: 6181382 (2001-01-01), Kieu et al.
patent: 6577345 (2003-06-01), Lim et al.
patent: 6614489 (2003-09-01), McIntyre et al.
patent: 6940557 (2005-09-01), Handjojo et al.
patent: 7190406 (2007-03-01), Ji et al.
patent: 7567294 (2009-07-01), Lu et al.
patent: 7613364 (2009-11-01), Kang et al.
patent: 7982799 (2011-07-01), Niedermeier
Schultz Richard R. et al., “Improved Definition Video Frame Enhancement”, Acoustics, Speech and Signal Processing, 1995, ICASSP-95, 1995 International Conference on Detroit, MI, USA, May 9-12, 1995, pp. 2169-2172.
Atkins Brian C., “Classification-Based Methods in Optimal Image Interpolation”, Doctoral Thesis, Faculty of Purdue University, Dec. 1998, pp. 1-95, and more specifically “2.2 Efficient Resolution Synthesis”, pp. 21-27.
Capel David et al., “Super-Resolution Enhancement of Text Image Sequences”, Pattern Recognition, 2000 Proceedings 15th International Conference on Sep. 3-7, 2000, Los Alamitos, CA, USA, IEEE Computer Science, Sep. 3, 2000, vol. 1, pp. 600-605.
Bouman Charles, “A Generalized Gaussian Image Model for Edge-Preserving Map Estimation”, IEEE Transactions on Image Processing, vol. 2, No. 3, Jul. 1993, pp. 296-310.
Vapnik V N, “The Support Vector Method for Estimating Real-Valued Functions”, Statistical Learning Theory, John Wiley and Sons, pp. 443-456.
Chu Wei et al., “Bayesian Support Vector Regression Using a Unified Loss Function”, IEEE Transactions on Neutral Networks, vol. 15, No. 1, Jan. 2004, pp. 29-44, Sections II, III and IV.

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