block-based map superresolution using feature-driven prior model

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ID: 253078
2014
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Abstract
In the field of image superresolution reconstruction (SRR), the prior can be employed to solve the ill-posed problem. However, the prior model is selected empirically and characterizes the entire image so that the local feature of image cannot be represented accurately. This paper proposes a feature-driven prior model relying on feature of the image and introduces a block-based maximum a posteriori (MAP) framework under which the image is split into several blocks to perform SRR. Therefore, the local feature of image can be characterized more accurately, which results in a better SRR. In process of recombining superresolution blocks, we still design a border-expansion strategy to remove a byproduct, namely, cross artifacts. Experimental results show that the proposed method is effective.
Reference Key
xu2014mathematicalblock-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Feng Xu;Tanghuai Fan;Chenrong Huang;Xin Wang;Lizhong Xu
Journal journal of power sources
Year 2014
DOI
10.1155/2014/508357
URL
http://dx.doi.org/10.1155/2014/508357
Keywords
civil engineering (general)mathematics engineering (general)

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