Restoration of non-uniform exposure motion blurred image

Luo, Yuanhong; Xu, Tingfa; Wang, Ningming; Liu, Feng

doi:10.1117/12.2082837

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2021

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“…erefore, the algorithm-based deblurring of infrared images is more widely used. Luo et al [6] developed a new infrared blurred image restoration model based on the principle of nonuniform exposure. In order to eliminate the motion blur of the image and restore the image, Jing et al [7] proposed an infrared target motion deblurring method based on the Haar wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Infrared Image Deblurring Based on Generative Adversarial Networks

Zhao

Wang

et al. 2021

International Journal of Optics

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Blind deblurring of a single infrared image is a challenging computer vision problem. Because the blur is not only caused by the motion of different objects but also by the relative motion and jitter of cameras, there is a change of scene depth. In this work, a method based on the GAN and channel prior discrimination is proposed for infrared image deblurring. Different from the previous work, we combine the traditional blind deblurring method and the blind deblurring method based on the learning method, and uniform and nonuniform blurred images are considered, respectively. By training the proposed model on different datasets, it is proved that the proposed method achieves competitive performance in terms of deblurring quality (objective and subjective).

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Section: Introductionmentioning

confidence: 99%