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Multi-Focus Image Fusion based on Stationary Wavelet Transform and extended Spatial Frequency Measurement

机译：基于固定小波变换和扩展空间频率测量的多聚焦图像融合

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摘要

In this paper, we propose a multi-focus image fusion approach based on Stationary Wavelet Transform (SWT) and extended the Spatial Frequency Measurements (SFM). Our proposed approach, two fused images are firstly decomposed into four subbands, which are one approximation subband (LL) and three details subbands (HL, LH and HH). Next, each subband is partitioned into blocks and each block is identified the clearer regions by computing the focus measure using the extended Spatial Frequency Measurement (SFM). Finally, the recovered fused image is reconstructed by performing the Inverse Stationary Wavelet Transform. From the experimental results, we found that the proposed method outperforms the traditional Wavelet Transform and SFM based methods in terms of objective and subjective assessments.
机译：在本文中，我们提出了一种基于静止小波变换（SWT）的多焦点图像融合方法，并扩展了空间频率测量（SFM）。我们所提出的方法，两个融合图像首先被分解成四个子带，这是一个近似子带（LL）和三个细节子带（HL，LH和HH）。接下来，通过使用扩展空间频率测量（SFM）来计算焦点测量，将每个子带分为块，每个块通过计算焦点测量来识别更清晰的区域。最后，通过执行逆静止小波变换来重建恢复的融合图像。从实验结果来看，我们发现所提出的方法在客观和主观评估方面优于传统的小波变换和基于SFM的方法。

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