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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 and logging systems, logging while drilling systems and ideal wellsite information systems both use information and image compression techniques to reduce the amount of data transferred and save data storage and processing time. Based on the existing wavelet compression technology, this paper proposes an image compression algorithm based on wavelet transform with attention concentration mechanism. The algorithm improves the subjective quality of the reconstructed image by weighted improvement of the wavelet coefficients and achieves a variable compression ratio for the region of visual interest. Compared with other image compression algorithms, the subjective quality of the reconstructed image has been significantly improved. Experiments show that this algorithm is easy to implement in software and hardware and can be used in imaging logging system, logging while drilling system and ideal wellsite information system.