A novel gray image representation using overlapping rectangular NAM and extended shading approach

作者: Yunping Zheng , Zhiwen Yu , Jane You , Mudar Sarem

DOI: 10.1016/J.JVCIR.2012.06.007

关键词:

摘要: In this paper, inspired by the idea of overlapping rectangular region coding binary images, we extend SDS design, which is based on representation from images to gray non-symmetry and anti-packing model (NAM). A novel image proposed using NAM (RNAM) extended Gouraud shading approach, called ORNAM representation. Also, present an algorithm images. The encoding decoding can be performed in O(n logn) time O(n) time, respectively, where n denotes number pixels a image. wrong problem hybrid matrix R for RNAM solved horizontal, vertical, isolated matrices, i.e., H, V I, are used identify vertex types. put forward four criteria homogeneous blocks. addition, redefining codeword set three vertices symbols, also propose new coordinate data compression procedure coordinates all non-zone elements matrices I. By taking some idiomatic standard field processing as typical test objects, comparing our with conventional S-Tree Coding (STC) representation, experimental results paper show that former has higher ratio less blocks than latter whereas maintaining satisfactory quality, therefore it better method represent

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