利用神经网络生成FIR滤波器以改善数字图像

2011 34th International Conference on Telecommunications and Signal Processing (TSP) Pub Date : 2011-10-13 DOI:10.1109/TSP.2011.6043674

J. Pęksiński, G. Mikolajczak

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引用次数: 7

摘要

本文的目的是展示数字图像的校正可能性，通过建立在低级别CCD矩阵上的图像采集工具实现，例如它们的质量接近高级别工具实现的图像。为此，作者使用了神经网络生成的带3×3掩模的线性滤波器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Generation of FIR filters by using neural networks to improve digital images

The aim of the article is to show correction possibilities of digital images, achieved by image acquisition tools built on low class CCD matrices, such as their quality were close to images achieved by high class tools. For this purpose the authors used the linear filter with 3×3 mask, which were generated with neural network.

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2011 34th International Conference on Telecommunications and Signal Processing (TSP)

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