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In this paper, we propose a new fractional order variational method for pan-sharpening, which aims to obtain a high resolution multi-spectral (MS) image from a low resolution MS image and a high resolution panchromatic (PAN) image. On one hand, we use the data generative constraint for preserving the spectral information. More specifically, on the other hand, we exploit the fractional order gradient...
In this paper, we propose a new spatial-Hessian-feature-guided variational model for pan-sharpening, which aims at obtaining a pan-sharpened multispectral (MS) image with both high spatial and spectral resolutions from a low-resolution MS image and a high-resolution panchromatic (PAN) image. First, we assume that the low-resolution MS image corresponds to the blurred and downsampled version of the...
A projected gradient algorithm (PGA) which is derived from the majorization-minimization (MM) framework has been proposed recently for Hessian-matrix Frobenius norm regularization image restoration model so that it currently provides state-of-the-art performance. Outside the MM framework and for the sake of further accelerating the convergence speed, this paper presents an efficient algorithm for...
Abstract-This paper addresses the real-time demand of radix-4 FFT processor in modern digital signal processing domain. Full parallel and pipelined architecture can be a good solution while too much hardware is consumed. Therefore a useful optimization method of complex multiplier and twiddle factor which has been successfully used to implement the FFT algorithms achieving a reduction in multipliers'...
Side-chain positioning is a central component of homology modeling and protein design. A simple solution is introduced by assuming a fixed backbone and discretizing the amino acid side-chain conformations into energetically favorable rotamers. For each possible combination of rotamers, an energy function is used to evaluate its fitness for the target conformation. While constructing complete energy...
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