朱莉. 一种改进的自适应非锐化掩模图像增强算法[J]. 微电子学与计算机, 2012, 29(6): 158-160,166.
引用本文: 朱莉. 一种改进的自适应非锐化掩模图像增强算法[J]. 微电子学与计算机, 2012, 29(6): 158-160,166.
ZHU Li. An Improved Adaptive Unsharp Masking Method for Real-time Image Contrast Enhancement[J]. Microelectronics & Computer, 2012, 29(6): 158-160,166.
Citation: ZHU Li. An Improved Adaptive Unsharp Masking Method for Real-time Image Contrast Enhancement[J]. Microelectronics & Computer, 2012, 29(6): 158-160,166.

一种改进的自适应非锐化掩模图像增强算法

An Improved Adaptive Unsharp Masking Method for Real-time Image Contrast Enhancement

  • 摘要: 提出了一种改进的自适应非锐化掩膜(UM)图像增强算法.它首先利用拉普拉斯算子值检测局部细节特征。然后依据定义的期望增强特性获取增强控制参数,最后利用上述步骤得到的参数计算增强后图像值.实验结果表明,本算法极大地提高了增强算法的稳定性,减少了计算量.使用本算法对标准测试集中的若干图像进行了增强,从增强结果的图像质量评价指标DV、BV值不定期捍,该算法部优于原有的算法.

     

    Abstract: We need a reliable adaptive image contrast enhancement in real-time processing such as digital TV postprocessing.This goal is achieved by an improved adaptive unsharp masking image enhancement algorithm in the paper.The proposed improved adaptive unsharp masking filter controls the contribution of the sharpening path by the output of Laplacian and works in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas.The experiment shows that this improved algorithm greatly reduce the complexity of computing and can be reliably used.The results also show that from both a BV/DV and a visual quality,the proposed filter outperforms the original filter for different test images

     

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