Applications of Digital Image Processing, Volume 1771Society of Photo-optical Instrumentation Engineers, 1993 - Image processing |
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Page 307
... optimal . The proposed approach is to adapt , based on observed image data only , the optimization criterion used in the restora- tion to one most suited to the statistical properties of the observed image . This is done without prior ...
... optimal . The proposed approach is to adapt , based on observed image data only , the optimization criterion used in the restora- tion to one most suited to the statistical properties of the observed image . This is done without prior ...
Page 578
but due to the distortion ( staining ) this mapping is sub - optimal in the present case . If we consider the observed image to be the sum of the actual image and an error term then an optimal mapping function may be derived using the ...
but due to the distortion ( staining ) this mapping is sub - optimal in the present case . If we consider the observed image to be the sum of the actual image and an error term then an optimal mapping function may be derived using the ...
Page 607
... optimal discriminant projection vectors are extracted based on an optimal discriminant criterion and the set of training image sam- ples ; then , the projective features ( i.e. the algebraic feature vectors ) of a testing image are ...
... optimal discriminant projection vectors are extracted based on an optimal discriminant criterion and the set of training image sam- ples ; then , the projective features ( i.e. the algebraic feature vectors ) of a testing image are ...
Contents
Session 2 | 85 |
a userfriendly easily expansible image processing package 177113 | 118 |
Regularized multiframe restoration of Hubble space and groundbased telescope images with | 124 |
Copyright | |
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adaptive algorithm analysis applications arithmetic coding attractor automatic bandwidth compression binary block camera cepstrum chaotic codebook coder coefficients color compression Computer Vision contour group correlation corresponding defined detection determined diffraction halo Digital Image Digital Image Processing dimension distribution dynamic edge enhancement entropy equation error extracted field filter fingerprint frequency function geometric Gold Codes graphic grey level histogram image processing implemented input intensity interpolation invariants iteration JPEG linear recursive sequences machine vision matching maximum maximum likelihood measure method motion estimation node noise nonlinear obtained operation optical optimal original image oxide parameters pattern performance pixel plane point source prediction problem processor quadtree recognition reconstruction reflectance map region resolution rotation samples scanning segmentation shape shown in Figure shows spatial speckle stereo subband surface Table technique threshold transform vector quantization visual voxels