Adaptive Interpolation Algorithm for Real-time Image Resizing
Adaptive Interpolation Algorithm for Real-time Image Resizing
复制标题
用于实时图像调整大小的自适应插值算法
DOI：
10.1109/icicic.2006.226
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Xu Guo
中科院分区：
文献类型：
--
作者：
Jianping Xiao;X. Zou;Zhenglin Liu;Xu Guo
针对传统图像插值算法的局限性，提出了一种基于牛顿多项式的自适应插值算法。相邻像素灰度值的二阶差分反映了像素间的相关性。在此基础上，结合经典的牛顿多项式，推导出图像插值的自适应函数。并在Matlab环境下与传统的图像去噪算法进行了效率比较。在此基础上，设计了三级并行流水线的自适应图像去噪算法实现电路结构，并在FPGA（现场可编程门阵列）中进行了验证。实验结果表明，该算法在视觉效果上优于双三次插值，且具有较低的复杂度。因此，该算法适合于实时图像压缩
In this paper, an adaptive interpolation algorithm is presented based on the Newton polynomial to improve the limitation of the traditional algorithm for image resizing. The second-order difference of adjacent pixels gray values shows the relativity among the pixels. Accordingly, the adaptive function for image interpolation is deduced according to both this relativity and the classical Newton polynomial. Then the efficiency of our method is compared with that of the traditional algorithm for image resizing in Matlab. Furthermore, the implementation circuit architecture is devised by three stage paralleling pipelines for the adaptive image resizing algorithm and is verified in FPGA (field programmable gate array). The experimental results show that our proposed algorithm excels the bicubic interpolation in visual effect, and has a lower complexity. Therefore, the algorithm adapts to real-time image resizing