Literature DB >> 19927185

Hybrid filtering and enhancement of high-resolution adaptive-optics retinal images.

Hua Bao1, Changhui Rao, Yudong Zhang, Yun Dai, Xuejun Rao, Yubo Fan.   

Abstract

Adaptive optics flood-illuminated imaging technology has been successfully used to correct the wavefront aberration of human eyes to obtain high-resolution retinal images. However, because of the pollution of various types of noise and the degradation caused by residual aberration, the noisy images are not very clear and weak edges are difficult to discern. To reveal the abundant detail hidden by large-scale noise and to enhance low-contrast edges, a hybrid filtering and enhancement method is proposed combining bilateral filtering, coherence diffusion, and edge enhancement. Results show that it is effective to improve the visual quality of retinal cell images.

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Year:  2009        PMID: 19927185     DOI: 10.1364/OL.34.003484

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  2 in total

1.  Deblurring adaptive optics retinal images using deep convolutional neural networks.

Authors:  Xiao Fei; Junlei Zhao; Haoxin Zhao; Dai Yun; Yudong Zhang
Journal:  Biomed Opt Express       Date:  2017-11-16       Impact factor: 3.732

2.  FCE-Net: a fast image contrast enhancement method based on deep learning for biomedical optical images.

Authors:  Yunfei Zhang; Peng Wu; Siqi Chen; Hui Gong; Xiaoquan Yang
Journal:  Biomed Opt Express       Date:  2022-05-20       Impact factor: 3.562

  2 in total

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