摘要
文章采用基于算术编码的压缩方法对文本图像进行无损压缩和传送,进而提出基于最小二乘法灰度插值的压缩文本图像的恢复算法,它将高度结构化的灰度图像分解为多个线性模型,估计出模型参数,从而重构出灰度文本图像,明显改善了屏幕浏览的视觉效果。
This paper presents an approach of restoration for compressed text images after lossless compression and transmission.It uses the restoration method based on LS(least squares)algorithm,the algorithm decomposes the highly structural gray level text images into multilinear models,estimates the model parameters by LS algorithm,then restores the gray images from compressed bilevel text images.The proposed method improves obviously the text visual effects on screen.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第2期36-38,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助(编号:60174021)
天津市信息港工程资助
