基于单层小波变换的图像融合压缩感知研究

杜淋

基于单层小波变换的图像融合压缩感知研究

引用本文：杜淋.基于单层小波变换的图像融合压缩感知研究[J].计算技术与自动化,2019,(2):85-89

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作者	单位
杜淋	（河海大学理学院，江苏南京 210098）

中文摘要:提出了一种将单层小波变换与压缩感知相结合的图像融合新方法，仅通过测量图像的高频小波系数且保留了低频小波系数，利用不同的方案对低频小波系数和高频小波系数的测量进行融合。结合总变分（TV）最小化算法和融合测量来恢复高频小波系数，运用逆小波变换对融合图像进行重建。实验表明，该方法具有良好的融合性能和较低的计算复杂度。

中文关键词:图像融合压缩感知单层小波变换

Research on Image Fusion Compressed Sensing Based on Single Layer Wavelet Transform

Abstract:This paper presents a new image fusion method combining single-layer wavelet transform with compressed sensing. It only measures the image's high-pass wavelet coefficients and preserves the low-pass wavelet coefficients. It uses different schemes for low-pass wavelet coefficients and high pass. Wavelet coefficient measurements are fused. Combined with minimization of total variational algorithm （TV） and fusion measurement to recover high-pass wavelet coefficients，the fusion image was reconstructed using inverse wavelet transform. Experiments show that this method has good fusion performance and low computational complexity.

keywords:image fusion compressed sensing single-layer wavelet transform

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