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基于最小二乘法的压缩文本图像恢复算法
引用本文:沈大龙,任东,陈增强,袁著祉. 基于最小二乘法的压缩文本图像恢复算法[J]. 计算机工程与应用, 2002, 38(2): 36-38
作者姓名:沈大龙  任东  陈增强  袁著祉
作者单位:1. 天津市计算机研究所,天津,300061
2. 南开大学自动化系,天津,300071
基金项目:国家自然科学基金资助(编号:60174021),天津市信息港工程资助
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。

关 键 词:图像处理  无损压缩  最小二乘法  图像恢复
文章编号:1002-8331-(2002)02-0036-03
修稿时间:2001-10-01

The Restoration Method for Compressed Text Images by LS Algorithm
Shen Dalong Ren Dong Chen Zengqiang Yuan Zhuzhi. The Restoration Method for Compressed Text Images by LS Algorithm[J]. Computer Engineering and Applications, 2002, 38(2): 36-38
Authors:Shen Dalong Ren Dong Chen Zengqiang Yuan Zhuzhi
Affiliation:Shen Dalong 1 Ren Dong 2 Chen Zengqiang 2 Yuan Zhuzhi 21
Abstract: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.
Keywords:Image Processing  Lossless Compression  LS algorithm  Image Restoration
本文献已被 CNKI 维普 万方数据 等数据库收录!
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