Abstract: This paper proposes an image coding algorithm based on Absolute Minimum Lipschitz Extension(AMLE) of image level set. On the basis of existing AMLE algorithm, this algorithm saves the bound data of image level sets and uses the method of processing scale by scale to reconstruct image. Experimental results show that this algorithm achieves higher PSNR and has better vision effect than existing AMLE algorithm.

Key words: level set, image coding, Absolute Minimum Lipschitz Extension(AMLE)

摘要： 提出一种基于图像水平集绝对最小Lipschitz延拓(AMLE)的图像编码方法。该算法在原有AMLE算法的基础上，保留图像水平集的边界数据，采用逐层处理方法实现图像重构。实验结果表明，其峰值信噪比高于原有AMLE算法，取得了更好的视觉效果。

关键词: 水平集, 图像编码, 绝对最小Lipschitz延拓

CLC Number: 

• TP391