A Traffic Image Compression Technique Based on Self-adapt Parameter Choice

A polynomial-approach method for image compression coding was presented for the first time to the small complex traffic image. We analyzed the image scanning method affect to the polynomial-approach method. Furthermore, we also researched the way of accumulation that can make the violent wobble of the curve became more gentle. Finally, we propose an approach, which has three steps: raster scanning of the image data, monotonizing data according to self-adapt parameter choice and polynomial-approach. This method achieved the image compression coding successfully. Experiments on traffic images showed our method is simple and high efficiency. It is high performance on the small complex traffic image, especially in middle and low signal-to-noise ratio