Block-Based MAP Superresolution Using Feature-Driven Prior Model

Feng Xu, Tanghuai Fan, Chenrong Huang, Xin Wang and Lizhong Xu

Mathematical Problems in Engineering, 2014, vol. 2014, 1-14

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:508357

DOI: 10.1155/2014/508357

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