A POCS Algorithm Based on Text Features for the Reconstruction of Document Images at Super-Resolution

A POCS Algorithm Based on Text Features for the Reconstruction of Document Images at Super-Resolution

In order to address the problem of the uncertainty of existing noise models and of the complexity and changeability of the edges and textures of low-resolution document images, this paper presents a projection onto convex sets (POCS) algorithm based on text features. The current method preserves the...

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Bibliographic Details
Main Authors: Fengmei Liang, Yajun Xu, Mengxia Zhang, Liyuan Zhang
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Symmetry
Subjects:
super-resolution reconstruction
document image
scale invariant feature transform algorithm
text feature
projection onto convex sets algorithm
Online Access:http://www.mdpi.com/2073-8994/8/10/102

Internet

http://www.mdpi.com/2073-8994/8/10/102

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