Digital Image Processing, Volume 1
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.
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Continuous Image Characterization
Digital Image Characterization
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algorithm amplitude analysis applications array assumed average becomes blur Chapter coding coefficients color components computational considered constant contains continuous convolution coordinate correlation curve defined degradation density described detection determined developed difference Digital direct discrete display distribution domain edge effects elements energy enhancement equal equations error estimate example expressed Figure filter Fourier transform frequency function given histogram ideal image IEEE image field image restoration impulse response indicated input integral interpolation inverse levels light limited linear luminance matched matrix mean measure methods noise nonlinear object observation obtained operator optical original output performed physical picture pixel probability produce provides quantization reconstruction region relatively represents samples scale segmentation separable shape shown signal solution space spatial spectral superposition techniques texture threshold Trans transfer function tristimulus values two-dimensional vector window York