An Efficient Lossless Compression Algorithm for Well Logging Result Drawings

Since the data of Well Logging Result Drawings is so large, it is necessary to apply efficient algorithm to compress them. Based on the lossless compression of LZMA (Lempel-Ziv-Markov chain-Algorithm), this paper presents a new compressing algorithm for Well Logging Result Drawings after analyzing Result Drawings in CGM (Computer Graphics Metafile) format. The experiment results indicate that the compression ratio of the proposed new algorithm for the Result Drawings with cgm format is larger than currently popular compression software. The new algorithm is also suitable to compress Result Drawings in any other vector format.

[1]  Ramakant Nevatia,et al.  Automatic Integration of Facade Textures into 3D Building Models with a Projective Geometry Based Line Clustering , 2002, Comput. Graph. Forum.

[2]  Andrew M. Day,et al.  Automatically generating large urban environments based on the footprint data of buildings , 2003, SM '03.

[3]  Andrew Zisserman,et al.  Automatic reconstruction of piecewise planar models from multiple views , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[4]  Christian Früh,et al.  An Automated Method for Large-Scale, Ground-Based City Model Acquisition , 2004, International Journal of Computer Vision.

[5]  Jun Wu,et al.  City modeling by videogrammetry based on three video image sequence strips taken from a helicopter , 2003, International Symposium on Multispectral Image Processing and Pattern Recognition.

[6]  Iso-Iec Jtc Sc Wg,et al.  FCD14495, lossless and near-lossless coding of continuous tone still images ({JPEG-LS}) , 1997 .

[7]  David Salomon,et al.  Data Compression: The Complete Reference , 2006 .

[8]  Ioannis Stamos,et al.  Automatic registration of 2-D with 3-D imagery in urban environments , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[9]  Moumita Das,et al.  Efficient lossless image compression using a simple adaptive DPCM model , 2001, Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257).

[10]  M. Nelson Data compression with the Burrows-Wheeler Transform , 1996 .