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Image Enhancement and Restoration
Scene Matching and Recognition
8 other sections not shown
Bandwidth Bandwidth Compression binary brightness circulant matrix coding color components Compression computed computed tomography considered contrast convolution coordinates correlation corresponding covariance matrix curve defined density described determine Digital Image discrete discrete Fourier transform distance distribution edge encoding enhancement entropy equal equation estimate example Figure Fourier transform given gray level high-pass high-pass filter histogram Huang IEEE IEEE Trans image plane Image Processing Image Restoration input invariant inverse linear low-pass filter luminance mapping mean squared error measure method modulation noise nonlinear object obtained optical original image parameters pattem Pattern Recognition perception picture element pixel problem Proc produced projection quantization random rate distortion theory receptors reconstruction region response retinal rotation sampled scene matching sequence shown in Fig signal solution spatial frequency spectral techniques three-dimensional threshold tion transfer function transmission tristimulus two-dimensional values vector visual system York