Image analysis – Image enhancement or restoration – Intensity – brightness – contrast – or shading correction
Reexamination Certificate
2007-03-13
2007-03-13
Wu, Jingge (Department: 2624)
Image analysis
Image enhancement or restoration
Intensity, brightness, contrast, or shading correction
C382S118000, C382S299000, C382S300000
Reexamination Certificate
active
10072939
ABSTRACT:
A system and method for appearance-based object detection includes a first portion capable of brightness and contrast normalization for extracting a plurality of training images, finding eigenimages corresponding to the training images, receiving an input image, forming a projection equation responsive to the eigenimages, solving for intensity normalization parameters, computing the projected and normalized images, computing the error-of-fit of the projected and normalized images, thresholding the error-of-fit, and determining object positions in accordance with the thresholded error-of-fit; and optionally includes a second portion capable of forming eigenimages for multiresolution for sub-sampling the training images, forming training images of coarse resolution in accordance with the sub-sampled images, computing eigenimages corresponding to the training images of coarse resolution, interpolating the eigenimages for coarse resolution, performing orthonormalization on the interpolated images by singular value decomposition, and providing pseudo-eigenimages corresponding to the orthonormalized images for a finer resolution.
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Waters et al.,Super resolution and image enhancement using novelty concepts,Mar. 1998,IEEE Aerospace Conference, vol. 5, pp. 123-127.
Engdahl John C.
Qian Jianzhong
Wei Guo-Qing
F. Chau & Associates LLC
Paschburg Donald B
Siemens Corporate Research Inc.
Strege John B.
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