| 摘要: |
| 图像缩放一般都是通过插值.尽可能的以较快速度实现较好的缩放效果.但一些传统的图像插值方法(如双线性插值,双三次插值等)常使缩放(特别是放大)后的图像边缘部分模糊或出现锯齿现象.引入了一种改进的保留图像边缘特征的自适应缩放插值方法,在Nira Shezaf等人提出的自适应插值算法的基础上进行了改进.引进矩形插值和梅花形插值,提出了梯度插值权重函数,能够有效地处理模糊和锯齿现象,并得到了较好的放大图像.最后利用相关评估标准进行了图像质量评估. |
| 关键词: 插值 边缘 梯度 缩放 矩形插值 梅花形插值 |
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| An Improved Adaptive Interpolation Algorithm Based on Edge for Image Zooming |
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CHEN Bei-Jing,CHEN Gang,WEI Ping,ZHAO Xiao-Yu
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| Abstract: |
| Usually,image zooming is an interpolation of the original image,achieving high quality zooming image as fast as possible.But it is well known that many traditional interpolation methods such as bilinear or bicubic often suffer from blurring edges or introduce zigzag errors.In this paper,a new adaptive image interpolation method based on edge,introducing rectangular interpolation and quincunx interpolation,putting forward the gradient weight function,motivated by the work of Nira Shezaf et al.,is presented.The experimental results show that the new method carl improve the quality of zoomed image effectively.At last,an evaluation is presented to assess the quality ofzoomed image. |
| Key words: interpolation edge gradient zoom |