By Peter W. Hawkes

Advances in Imaging and Electron Physics merges long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The sequence positive aspects prolonged articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, picture technology and electronic photograph processing, electromagnetic wave propagation, electron microscopy, and the computing equipment utilized in a lot of these domain names.

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Since the VQ step introduces controlled distortion, the reconstructed video is not a perfect match of the input video X. As in the standard codecs, SNP/VQR uses lossy compression to achieve low bit per pixel representations but, at low bit rates, the subjective quality of the reconstructed video is much superior to these standards. 263 exhibit several visual degradations such as blocking. SNP/VQR exhibits better visual quality with no blocking, and more details are retained in the compressed video.

The next sections discuss three applications of the GMRFs in image and video processing. Section IV describes a restoration technique for deblurring images corrupted with additive noise. Our algorithm uses a practical implementation of the RTS smoother based on noncausal prediction that models the blurred image as a finite-lattice GMRF. Section V presents a low bit rate, video coding scheme referred to as SNP/VQR. The novelty and superior performance of SNP/VQR is due to the noncausal GMRP paradigm.

46). blurred image. The resulting distorted image is shown in Figure 3b where for reference we also include the original image in Figure 3a. The outputs of the spatial averaging filter are shown in Figure 3c. The restored image does not include any additional postprocessing of images after restoration, as is also the case for the results presented later. Because the spatial filter does not take the blurring model into consideration, it is unable to remove the distortions introduced by blur. Figures 3d, e, and f illustrate the outputs from the Wiener and RTS filters.

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