基于Bandelets域的自适应图像压缩  

Adaptive Image Compression Based on Bandelets Domain

作　　者：朱梅[1] 李章维[2] 

机构地区：[1]浙江科技学院信息与电子工程学院,杭州310023 [2]浙江工业大学信息工程学院,杭州310023

出　　处：《计算机工程》2011年第7期241-242,252,共3页Computer Engineering

基　　金：国家"863"计划基金资助项目(2008AA04A105);浙江省科技厅计划基金资助项目(2008C21080)

摘　　要：针对第二代Bandelets变换,提出一种新的图像压缩算法。在图像剖分子块时,依据父、子目标函数值的计算比较,优化四叉树剖分,并利用最小二乘法改进剖分区域的最优方向搜索,实现图像压缩,既保留图像丰富的边缘及纹理效果,又降低计算复杂度。实验结果表明,该算法相比JPEG2000的峰值信噪比可提高0.1 dB以上。According to the second generation Bandelets transform,the paper proposes an algorithm which is based on the objective function calculation from father and son to optimize the quadtree construction when the image is subdivided.The principle of the least squares is also applied to the optimal direction search so as to achieve efficient image compression.The edges and texture features are retained,and the computational complexity is also reduced.Experimental results show the peak signal to noise ratio is increased by more than 0.1 dB compared with JPE2000 scheme.

关 键 词：第二代Bandelets变换 多尺度分析 四叉树 目标函数 图像压缩 

分 类 号：N945[自然科学总论—系统科学]