小波
光学
小波变换
景深
材料科学
图像融合
分辨率(逻辑)
光学(聚焦)
融合
图像分辨率
人工智能
计算机视觉
计算机科学
物理
图像(数学)
哲学
语言学
作者
Xianlin Song,Sihang Li,Zhuangzhuang Wang,Xiongjun Cao
标识
DOI:10.1002/jbio.202200234
摘要
Optical-resolution photoacoustic microscopy suffers from limited depth of field due to the strongly focused laser beam. Here, a novel volumetric information fusion is proposed to achieve large volumetric and high-resolution imaging. First, three-dimensional stationary wavelet transform was performed on the multi-focus data to obtain eight wavelet coefficients. Differential evolution based on joint weighted evaluation was then employed to optimize the block size of division for each wavelet coefficient. The proposed fusion rule using standard deviation for focus detection was used to fuse the corresponding sub-coefficients. Finally, photoacoustic imaging with large depth of field can be achieved by the inverse stationary wavelet transform. Performance test shows that the depth of field of photoacoustic imaging can be doubled without sacrificing lateral resolution. The proposed volumetric information fusion can further promote the capability of volumetric imaging of optical-resolution photoacoustic microscopy and will be helpful in the acquisition of physiological and pathological process.
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