摘要
提出了一种自适应提升小波变换方案,首先将源图像经过水平、垂直和对角线分解成为高、低频系数,构造预测算子和更新算子,对高、低频系数进行预测和更新,再对高、低频系数采用不同的融合规则进行融合,最后进行提升小波逆变换,合成融合后图像。实验表明,本算法能够保留更多的细节信息。
An adaptive lifting wavelet transform scheme is proposed. First, the source image is decomposed into high and low fre‐quency coefficients by horizontal, vertical and diagonal lines, then the prediction operator and update operator are constructed topredict and update the high and low frequency coefficients, and then the high and low frequency coefficients are fused with differ‐ent fusion rules. The lifting wavelet inverse transform is used to synthesize the fused image. Experiments show that the algorithmcan retain more details.
出处
《电脑知识与技术》
2018年第11Z期223-224,共2页
Computer Knowledge and Technology
基金
湖北省教育厅科学技术研究计划青年人才项目(Q20161011)
