基于非线性小波变换的图像边缘分解方法  

Nonlinear Wavelet Transform Based Image Edge Decomposition

作　　者：张雷[1] 黄廉卿[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,长春130033

出　　处：《电子与信息学报》2005年第5期691-693,共3页Journal of Electronics & Information Technology

摘　　要：图像边缘分解重建过程中,为解决重建后的边缘振荡问题,提出无需对小波变换跃变点两侧延拓,采用非线性变换把能量集中到低频分量上,用精细尺度上小波变换模极大值对跃变点进行奇异性检测,用较少存储空间和计算量即可有效克服重建图像边缘振荡问题。Avoiding oscillation phenomenon which occurs in analysis and reconstruction of image edges, an application without extrapolation both sides is proposed. Image energy is concentrated in low frequency by using nonlinear transform, and the exact jumps location are detected by local maximum of wavelet transform in fine scale. Non-oscillation edges of reconstructed image are received with less storage space and computing time.

关 键 词：图像压缩 边缘振荡 非线性小波 

分 类 号：TN919.8[电子电信—通信与信息系统]