Digital Image Processing, Volume 1Wiley, 1978 - 750 pages Today, image processing has become a vital, cost-effective technology in a host of applications. This Second Edition covers these new developments in this dynamic field. Five sections explore the characterization of continuous images, image sampling and quantization techniques along with the mathematical representation of discrete images, two-dimensional signal processing techniques, image enhancement and restoration techniques and image analysis. |
Table des matières
Continuous Image Characterization | 1 |
Digital Image Characterization | 91 |
Image Coding | 134 |
Droits d'auteur | |
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Expressions et termes fréquents
algorithm amplitude analysis area convolution area superposition blur matrix chromaticity coding color image components computational continuous image correlation covariance matrix curve defined degradation Digital Image discrete image display edge detection elements equations example exposure film finite area Fourier domain Fourier transform Gaussian Hadamard Hadamard matrix Hadamard transform histogram IEEE IEEE Trans image array Image Processing image restoration image samples imaging system impulse response integral interpolation inverse k₁ Laplacian light linear logarithm luminance m₁ mask matched filter mean-square error measure median filter n₁ n₂ noise nonlinear object observed image obtained one-dimensional optical original image output image performed photographic pixel plane probability density pseudoinverse quantization recursive region represents segmentation sensor signal spatial frequency spectral energy distribution spectrum superposition operator techniques texture threshold transfer function transform domain tristimulus values two-dimensional unitary transform vector wavelength Wiener filter zero Σ Σ