摘要
成象测井系统、随钻测井系统和理想井场信息系统都采用了信息和图象压缩技术，目的是减少传输的数据量，节省数据的存储空间和处理时间。本文在已有小波压缩技术的基础上，提出了基于小波变换的具有注意力集中机制的图象压缩算法。该算法通过对小波系数进行加权改进，对于人们视觉感兴趣区域实现可变压缩比，和其它图象压缩算法相比较，重建图象的主观质量得到了明显改善。实验证明，这种算法易于软件与硬件实现，可用于成象测井系统、随钻测井系统和理想井场信息系统中。
Imaging Logging System, Logging While Drilling System and Ideal Wellsite Information System take the advantage of information and image compression technique, which could reduce the transferred data, cut down the storage space and processing time. Based on the developed wavelet compression technique, we propose a simple weighted focusing algorithm for image compression, which allows us to single out interesting region and obtain variable compressin rate over an image. Compared with other compression algorithms, the image compressed by this algorithm is better under the subject criteria. The algorithm is simple and easy to implement with hardware or software and suitable for Imaging Logging System, Logging While Drilling System and Ideal Wellsite Information System.
出处
《测井技术》
CAS
CSCD
北大核心
1997年第6期413-416,共4页
Well Logging Technology
关键词
测井
石油
图象压缩
算法
图象编码
image processing logging wavelet processing signal noise ratio compression casing testing
