IMAGE-CODING USING MODIFIED BEZIER-BERNSTEIN APPROXIMATION

作     者：BISWAS, S PAL, SK 

作者机构：Machine Intelligence Unit Indian Statistical Institute 5 India 

出 版 物：《INFORMATION SCIENCES》 (信息科学)

年 卷 期：1995年第83卷第3-4期

页      面：175-197页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image coding 

摘      要：A modified version of the Bezier-Bernstein polynomial approximation technique has been developed which gives local control of data points depending on an absolute error criterion. Based on this concept, two algorithms for coding a gray-tone image have been formulated. Error bounds have been developed which are used to approximate gray segments of pixels. These bounds are determined by the desired error in approximation. Effectiveness of the algorithms has been demonstrated on a set of images.