摘要
提出一种基于熵的WBCT自适应方向分解优化算法,在对图像进行小波变换的基础上,对各级高频子带进行完全方向分解,然后分析各子带不同方向分解数目时熵的变化情况,并根据最小熵原则给出各个子带的最优方向分解数目。采用SPECK编码方法验证了方向分解数目的合理性。结果表明:经笔者算法处理后的重构图像PSNR值均有明显提高。
An entropy-based WBCT adaptive optimization algorithm for direction decomposition was proposed. Basing on the image wavelet transform,making complete direction decomposition of the high-frequency sub-bands was implemented,including the analysis of entropy value of each sub-band with different direction de-composition number,and the determination of optimal direction decomposition number for each sub-band ac-cording to the minimum entropy principle.Verifying rationality of the direction decomposition with SPECK al-gorithm shows that the reconstructed image’s PSNR processed by the proposed algorithm is improved obvious-ly.
出处
《化工自动化及仪表》
CAS
2015年第5期507-511,共5页
Control and Instruments in Chemical Industry
基金
国家自然科学基金项目(60736043)
中国石油科技创新基金研究项目(2012D-5006-0609)
黑龙江省教育厅科学技术研究项目(12521050)
