Image analysis – Image enhancement or restoration – Image filter
Reexamination Certificate
2007-10-09
2007-10-09
Dang, Duy M. (Department: 2624)
Image analysis
Image enhancement or restoration
Image filter
C382S254000
Reexamination Certificate
active
10619124
ABSTRACT:
An image processing technique produces modified images by extracting strong features of the original image, i.e., bars and edges, and superimposing such extracted features onto the original image. The invention combines the Hilbert transform of the image data with the image data in a pre-defined manner to produce the so-called energy function whose maxima correspond to the strong features of the image. Addition of these extracted features to the original image results in obtaining an enhanced image. In addition, the invention provides techniques for enhancing the real-world view of natural scenes. Another practice of the invention employs a plurality of oriented filters for extracting luminance features of an image. An apparatus of the invention displays the extracted luminance features as contour version of the original image. Another apparatus of the invention provides a minified contour image of a natural scene to assist a patient having a restricted peripheral vision in locating objects in the scene.
REFERENCES:
patent: 4535417 (1985-08-01), Peacock
patent: 5561724 (1996-10-01), Kido et al.
patent: 5602934 (1997-02-01), Li et al.
patent: 5717789 (1998-02-01), Anderson et al.
patent: 5768405 (1998-06-01), Makram-Ebeid
patent: 540 394 (1993-05-01), None
patent: 09/063314 (1997-07-01), None
patent: EP 366075 (1990-05-01), None
patent: WO 96/01440 (1996-01-01), None
patent: WO 99/26199 (1999-05-01), None
Kohlmann, K., “Corner detection in natural images based on the 2-D Hilbert transform,”Signal Processing European Journal devoted to the Methods and Applications of Signal Processing, 48(3):225-234, (1996).
Peli, E., “Limitations of image enhancement for the visually impaired,”Optometry and Vision Science, 6:15-24 (1992).
Peli, E., et al., “Image enhancement for the visually impaired: The effects of enhancement on face recognition,”Journal of Optical Society of America, 11:1929-1939 (1994).
Peli, E., “Adaptive enhancement based on visual model”, Optical Engineering, vol. 26, No. 7, Jul. (1987).
Peli, E., “Contrast in complex images,”Journal of Optical Society of America, 7:10:2032-2040 (1990).
Dang Duy M.
The Schepens Eye Research Institute, Inc.
Weingarten Schurgin, Gagnebin & Lebovici LLP
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