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This paper presents a regularized image sequence interpolation algorithm, which can restore high frequency details by fusing low-resolution frames. Image fusion algorithm gives the feasibility of using diierent data sets, which correspond to the same scene to get a better resolution and information of the scene than the one obtained using only one data set.(More)
Sn-based oxide materials as an anode of lithium ion batteries (LIBs) suffer from the unavoidable mechanical stress originated from huge volume changes during lithiation/delithiation reactions. We synthesized the hierarchical SnO nanobranches (NBs) decorated with Sn nanoparticles on Cu current collector using a vapor transport method. The Sn-decorated SnO(More)
This paper presents an adaptive regularized image interpolation algorithm from blurred and noisy low resolution image sequence, which is developed by a general framework based on data fusion. This framework can preserve edge information and suppress noise, effectively. To obtain a higher resolution image, both discontinu-ities across the edge orientation(More)
This paper proposes a noise smoothing algorithm for dense range image using adaptive regularization, which preserves discontinu-ities and removes noise, simultaneously. In order to obtain the discontinuity-preserved range data, both high frequency components across the edge orientation and smoothness along the edge orientation are considered in this(More)
This paper proposes a noise smoothing algorithm for dense range image using adaptive regularization, which preserves discontinuities and removes noise, simultaneously. In order to obtain the discontinuity-preserved range data, both high frequency components across the edge orientation and smoothness along the edge orientation are considered in this(More)
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