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细缝裁减和非均匀映射结合的图像自适应方法

, PP. 1235-1239

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Abstract:

采用将细缝裁减和非均匀映射相结合的图像尺寸自适应框架,提出了一种基于内容的图像重要信息变形的度量方法.首先提取原始图像的重要性像素点,利用细缝裁减去掉一条像素细缝后,相应的重要性像素点会被更新.对于图像中保留的重要性像素点,计算它们的子图像平均偏差(ADSI,AverageDifferenceofSubImages);对于被移除的重要性像素点,计算它们的平均丢失能量(ALE,AverageLostEnergy).通过ADSI和ALE可计算出重要信息变形的度量函数(IIDF,ImportantInformationDeformationFunction)的值,通过分析IIDF的趋势得到细缝裁减的终止条件,然后改用非均匀映射方法(non-homogeneouswarping)将图像自适应到目标尺寸.实验结果证明,新方法处理的结果图像重要区域变形较小,并且计算效率比较高.

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