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首页> 外文期刊>International Journal of Innovative Computing Information and Control >FAST IMAGE-ENLARGEMENT ALGORITHM FOR THE AUGMENTATION OF THE HIGH-FREQUENCY COMPONENT BY EMPLOYING A HIERARCHICAL PREDEFINED CODEBOOK
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FAST IMAGE-ENLARGEMENT ALGORITHM FOR THE AUGMENTATION OF THE HIGH-FREQUENCY COMPONENT BY EMPLOYING A HIERARCHICAL PREDEFINED CODEBOOK

机译：通过使用分层预定义代码簿增强高频组件的快速图像放大算法

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摘要

High-quality image enlargement is achieved by the augmentation of the high-frequency components that deteriorate as a result of image enlargement. A codebook-based method, which utilizes the relationship of the low- and high-frequency image components, is a proven method of high-quality image enlargement. However, this method requires a significant calculation time to be employed for a codebook search process, and thus is not suitable for real-time processing. In this paper, we propose a fast image-enlargement algorithm that includes a hierarchical predefined codebook and a fast edge-patch detection rule. A hierarchical codebook search reduces the number of comparisons that need to be made in comparison with a conventional full codebook search. In addition, applying the augmentation of the high-frequency components to only the edge patches detected under the proposed rule reduces the calculation time. The experimental results show that the calculation time of the proposed method is around 180 times faster than that of the fastest existing codebook-based method. The proposed method realizes high-quality image enlargement in terms of both objective and subjective evaluations in comparison with conventional methods.
机译：通过增加由于图像放大而变差的高频分量，可以实现高质量的图像放大。利用低频和高频图像分量之间的关系的基于密码本的方法是一种行之有效的高质量图像放大方法。但是，该方法需要大量的计算时间用于码本搜索过程，因此不适用于实时处理。在本文中，我们提出了一种快速的图像放大算法，该算法包括分层的预定义码本和快速的边缘补丁检测规则。与传统的完整码本搜索相比，分层码本搜索减少了需要进行的比较次数。另外，将高频分量的增强仅应用于在建议规则下检测到的边缘斑块可减少计算时间。实验结果表明，该方法的计算时间比现有最快的基于码本的方法的计算时间快180倍左右。与传统方法相比，该方法在客观和主观评估方面均能实现高质量的图像放大。

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