Paper
14 April 2022 Blur region detection and segmentation of partial blur image
Kui-kui Wang, Yi-feng Hou, Mei-ni Lv, Ping Gong, Qiu-hui Yang, Hui Gan
Author Affiliations +
Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780S (2022) https://doi.org/10.1117/12.2631927
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
In order to address the detection and segmentation of partial blur for natural images,a no-reference and training-free algorithm was proposed.Firstly,the test image was re-blurred by a Gaussian low-pass filter.Secondly,the pixel-wise singular value decomposition within N×N neighborhoods for both the test image and the re-blurred image were conducted to obtain the ratio of the end singular value to all singular value.According to the ratio,the blurriness distribution function was structured and the blurriness distribution map was drawed.Finally,combined with the K-means clustering algorithm and the erosion and dilation operations, the test image could be segmented into blur region and clear region.Experiment results show that the proposed approach can effectively detect and segment the partial blur image and behave well at precision, recall and F-score.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kui-kui Wang, Yi-feng Hou, Mei-ni Lv, Ping Gong, Qiu-hui Yang, and Hui Gan "Blur region detection and segmentation of partial blur image", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780S (14 April 2022); https://doi.org/10.1117/12.2631927
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Detection and tracking algorithms

Image fusion

Image processing

Image quality

Point spread functions

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