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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%。
In this paper, an image compression coding method based on polynomial fitting is creatively proposed for traffic real-time traffic images. The method achieves the compression of the image data by three steps of raster scanning, monotonous processing and polynomial fitting coefficient preservation of the image data. The method is simple, fast and efficient, and achieves good results for small and complex traffic imagery. For complex traffic images with 256 × 256 pixels, the peak signal to noise ratio is more than 20 and the compression ratio is less than 22%.