Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
1998-10-02
2001-10-16
Chen, Wenpeng (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S254000, C382S279000
Reexamination Certificate
active
06304682
ABSTRACT:
FIELD OF THE INVENTION
The present invention relates to computer processing of image data, and more particularly, to a method for generating still images from compressed video data.
BACKGROUND OF THE INVENTION
The storage and data processing capabilities of personal computers have increased to the point that is now possible to provide video processing on such computers. Computer systems that can capture video from cameras, recorders, or television tuners are currently available. Video signals usually have very low quality. The video appears to be of better quality, because the errors from frame to frame are “averaged” by the viewer's eyes.
There is a growing interest in creating high quality still images from video sequences. Since each video frame has relatively poor resolution, the information in a number of frames is combined to generate a still image having a resolution that is much better than the individual frames. The prior art methods for combining the frames operate on uncompressed data in the “pixel” domain.
While storage costs have decreased considerably, the amount of data inherent in a video sequence is still too large to allow more than short video clips to be stored without some form of compression. Accordingly, many video capture systems output compressed video data. The compression algorithms reduce the high frequency information, which is needed to create high-quality still images, and hence, further complicate the still image construction problem. In addition, the compressed video contains quantization information that is not easily utilized in the pixel domain.
Broadly, it is the object of the present invention to provide an improved still image reconstruction system.
It is a further object of the present invention to provide a still image reconstruction system that operates on compressed video data.
It is a still further object of the present invention to provide a still image reconstruction system that takes into account the quantization information in the compressed video sequence.
These and other objects of the present invention will become apparent to those skilled in the art from the following detailed description of the invention and the accompanying drawings.
SUMMARY OF THE INVENTION
The present invention is a method for generating a high-resolution image from a plurality of low-resolution images generated from quantized coefficients in the spatial frequency domain and the uncertainties in the quantized coefficients. The method generates a set of linear inequalities relating the quantized coefficients, the uncertainties therein, and the pixel values for the high-resolution image. Each linear inequality relates one of the quantized coefficients to a linear sum of the high-resolution pixel values. A high-resolution image whose pixels satisfy this set of inequalities is then generated.
REFERENCES:
patent: 5561611 (1996-10-01), Avinash
patent: 5579054 (1996-11-01), Sezan et al.
patent: 5696848 (1997-12-01), Patti et al.
patent: 5949914 (1999-09-01), Yuen
patent: 6023535 (2000-02-01), Aoki
Andrew Patti, et al., Superresolution Video Reconstruction with Arbitrary Sampling Lattices and Nonzero Aperture Time, IEEE Transactions on Image Processing, 6, pp. 1064-1075, 1997.
M. Ibrahim Sezan—“An overview of convex projections theory and its application to image recovery problems”. (Ultramicroscopy 40 (1992) pp. 55-67).
Chen Wenpeng
Hewlett--Packard Company
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