华中科技大学学报:自然科学版2011,Vol.39Issue(10):87-90,4.
基于阴影法和对角优先的RNAM图像表示
RNAM image representation based on shading approach and diagonal-first search
摘要
Abstract
Diagonal-first strategy for searching a rectangle subpattern was studied.By using the extended Gouraud shading approach and the diagonal-first search strategy,a rectangular non-symmetry and anti-packing pattern representation model(RNAM) image representation method was proposed,which was called diagonal-first RNAM coding(DRNAMC) method.By taking some idiomatic standard gray images in the field of image processing as typical test objects,and by comparing the proposed DRNAMC method with the popular S-tree coding(STC) method,the experimental results show that the former has the higher compression ratio and the less number of blocks than the latter whereas maintaining the image quality,and therefore it is a better method to represent the gray image.关键词
图像表示/灰度图像/对角优先/扩展的Gouraud阴影法/矩形/非对称逆布局的模式表示模型Key words
image representation/gray image/diagonal-first/extended Gouraud shading approach/rectanglar/non-symmetry and anti-packing pattern representation model(RNAM)分类
信息技术与安全科学引用本文复制引用
郑运平,郭晰,李祖嘉..基于阴影法和对角优先的RNAM图像表示[J].华中科技大学学报:自然科学版,2011,39(10):87-90,4.基金项目
国家自然科学基金资助项目 ()
中央高校基本科研业务费专项资金资助项目 ()
广东省自然科学基金资助项目 ()
广东省大学生创新实验项目 ()