A code-reduction technique for an image enlargement by using a SOM-based fuzzy interpolation
A code-reduction technique for an image enlargement by using a SOM-based fuzzy interpolation
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DOI：
10.1109/iconip.2002.1202827
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发表时间：
2002-11
期刊：
影响因子：
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通讯作者：
T. Aso;N. Suetake;T. Yamakawa
中科院分区：
文献类型：
--
作者：
T. Aso;N. Suetake;T. Yamakawa
提出了一种新的图像放大方法，该方法采用基于码本的模糊插值技术，实现了图像放大过程中的平滑和锐化。该方法利用自组织映射生成码书，并利用码书的编码确定模糊规则中高斯隶属函数的参数。然后，通过模糊推理实现图像的放大。实验结果表明，该方法的性能优于其他典型的图像放大方法上级。与作者提出的基于码本的方法相比，计算时间大大减少。
We propose a new image enlargement method employing a codebook-based fuzzy interpolation technique in order to realize simultaneous smoothing and sharpening in image enlargement. In the proposed method, codebooks are generated by using self-organizing maps, and codes of the codebooks are used to determine parameters of Gaussian membership functions in the fuzzy rules. Then, an enlargement of an image is achieved by a fuzzy inference. In this paper, experimental results show the performances of the proposed method superior to other typical image enlargement methods. The calculation time is reduced drastically in comparison with the previous codebook-based method which has been proposed by the authors.