基于多项式拟合的交通图像编码方法

Traffic Image Coding Method Based on Polynomial Approach

文章针对交通实时路况图像创造性地提出了一种基于多项式拟合的图像压缩编码方法。该方法通过对图像数据的光栅扫描、单调化处理和多项式拟合系数保存等三个步骤来实现对图像数据的压缩。该方法简单方便、快速高效,针对小幅复杂交通路况图像取得了良好的结果。对像素为256×256的复杂交通图像峰值信噪比大于20且压缩比小于22%。

Present a method based on polynomial approach for image compression coding for the first time.According to the three steps：image raster seanning,monotonizing treatment and polynomial approaching,we achieve the image compression coding successfully.The method＇s most merit is facility and high efficiency.This method is high performance aimed at the small complex traffic image,especially in middle and low signal to noise ratio.The Power Signal-to-Noise Ratio is bigger than 20,while the compression rate is smaller than 22% to a small complex traffic image which is 256 multiply 256.