Mean Square Error Minimization Using Interpolative Block Truncation Coding Algorithms

摘要：

Block Truncation Coding (BTC) is one of spatial coding techniques of images. This technique has a simple and fast algorithm which achieves constant bit rate of 2 bits per pixel. The compression ratio may be improved by coding only half of the bits in the BTC bit plane of each block; the other half will be interpolated at the receiver. The resulting bit rate will be 1.5 bits per pixel. In this paper, two proposed interpolative algorithms for coding the block truncated image bit plane are presented. Several grey scale test images are used to evaluate the coding efficiency and performance of these algorithms compared with existing algorithms. It is generally shown that the proposed algorithms give better results.

关键词： image coding block truncation coding interpolative BTC coding image processing

作者: Elghanai.M.Rhoma Abdosllam.M.Abobaker

作者单位: Communication Engineering Department Higher Institute of Electronics Bani Waleed, Libya

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 42-45

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）