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268 results about "Energy minimization" patented technology

In the field of computational chemistry, energy minimization (also called energy optimization, geometry minimization, or geometry optimization) is the process of finding an arrangement in space of a collection of atoms where, according to some computational model of chemical bonding, the net inter-atomic force on each atom is acceptably close to zero and the position on the potential energy surface (PES) is a stationary point (described later). The collection of atoms might be a single molecule, an ion, a condensed phase, a transition state or even a collection of any of these. The computational model of chemical bonding might, for example, be quantum mechanics.

Edge information-based multi-scale blurred image blind restoration method

The invention discloses an edge information-based multi-scale blurred image blind restoration method, which comprises the following steps of: circularly and gradually restoring an image from a small scale layer to a large scale layer, setting self-adaptive parameters at different scales, and processing each scale layer, namely bilaterally filtering the restored image to obtain an image of which the noise and ripple are removed; performing shock wave filtering to obtain an image with high-strength contrast edges; solving the edges, and combining a fuzzy core initial value and a fuzzy graph to obtain an accurate fuzzy core; restoring a fuzzy image at the current scale to obtain a clear restored image by using the solved fuzzy core; sampling and amplifying in the current scale layer to obtain the restored image and a fuzzy core initial value of an adjacent large scale layer, and performing cycle operation on the adjacent large scale layer. The edge information-based multi-scale blurred image blind restoration method can effectively converge various images in different fuzzy degrees, and compared with a general blind restoration method which directly solves the energy minimization, the blurred image blind restoration method has the advantages of low computational complexity and high noise suppression capacity.
Owner:ZHEJIANG UNIV
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