一种基于面像素模型的图像缩放算法

An image-scaling algorithm based on area pixel model

提出了一种基于面像素模型的图像缩放算法。这种方法考虑了CCD采集像素的实际情况,将每个像素看成是一个长方形,而不像常用算法中把每个像素看成一个采样点,利用现有的像素值重构出原始CCD感光元件上的光强分布,然后通过积分求取单位面积上的光强得到新的像素值。实验结果表明,该方法比常用的图像缩放算法更好地保持了图像高频分量,具有更高的锐度和对比度。同时,所需资源较少、运算速度快,利于VLSI硬件实现和实时处理。

An image scaling algorithm based on area pixel model was proposed.According to the facts of CCD,it considers every pixel as a rectangle rather than a sampled point in the traditional algorithms.The distribution of the light intensity was reconstructed using the existing pixels,then the new pixels were obtained by the integration of the distribution of the light intensity.The experiment results show that this algorithm maintains more high frequency information of the images than that of the traditional algorithms,and has better sharpness and contrast.The proposed method need less resources and has high speed,that is propitious to the implementation of VLSI and real-time process.