Image and Video ProcessingSPIE, 1995 - Image processing |
Contents
ALGORITHMS | 12 |
Interpolating discrete cosine transform DCT representation of digital video over time | 15 |
Video resolution enhancement 242103 | 23 |
Copyright | |
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Common terms and phrases
algorithm applications approach block camera codebook coefficients color image color space component compression Computer Vision constraints contour convolution corner detection decoder defined density detection diffusion Discrete Cosine Transforms displacement vector dyes edge edge detection encoding equation error fading frequency FSCL ft(x function Gaussian header high-resolution histogram homomorphic filtering image features image processing image segmentation implementation input image interpolation iteration Kalman filter keywords linear filter low-resolution MAP estimate matching matrix mean curvature method model feature motion compensated motion estimates MPEG multi-scale noise object classes obtained operations optimal output parallel parameters partition performance periodic translation pixel points problem processor elements reconstruction regions restoration runway samples scale scale-space Section shown in Figure Signal Processing Single Frame smoothing spatial spectra SPIE Vol structure subpixel subsampling tangent techniques threshold transform values Vector Quantization video resolution enhancement video sequence Διπυ