矿井监控图像的分形编码  

A fractal compression encoding for underground mine surveillance images

作　　者：杨彦从[1] 田洪现[2] 彭瑞东[3] 

机构地区：[1]中国矿业大学(北京)机电与信息工程学院,北京100083 [2]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [3]中国矿业大学(北京)煤炭资源与安全开采国家重点实验室,北京100083

出　　处：《辽宁工程技术大学学报（自然科学版）》2011年第2期272-275,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金青年科学基金资助项目(10802092);中央高校基本科研业务费专项资金资助项目(2009QJ09)

摘　　要：针对井下光照度低,监控图像对比度低,平滑区域较多这一特点,为了提高煤矿井下监控图像的分形压缩编码的效率,采用了基于平滑块处理的分形编码算法。在进行分形编码时,预先设定图像D块及R块的方差阈值,将方差小于其阈值的所有D块剔除在码本之外,对于方差小于其阈值的所有R块不进行搜索匹配,而是直接赋以均值。实验研究结果表明:基于平滑块处理的分形编码算法比基本分形编码算法更有效。该算法的实现提高了分形编码的效率,有助于解决煤矿井下监控图像的低比特率传输问题。In order to improve the efficiency of fractal compression encoding of underground mine surveillance images,a fractal compression encoding algorithm based on average blocks was proposed in this study to account for the characteristics of low contrast in underground mine surveillance images due to its low illumination and more average blocks.A threshold of variance was assigned for range blocks and domain blocks in advance.The domain blocks with variance below the threshold were eliminated from the domain pool.The range blocks with variance below the threshold were then no longer searched,and they were denoted directly by its average gray value.The experiments on the underground mine surveillance images show that the proposed algorithm is valid.The proposed algorithm can improve the efficiency of fractal compression encoding and be useful for solving the problem of surveillance images transmission with low bit rate.

关 键 词：矿井监控 图像压缩 分形 迭代函数系统 平滑块 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]