Patent
Image reconstruction method and system
Tang Yuguo,Zhang Yanwei,Gong Yan,Luo Cong,Lang Song,Wang Hongwei +5 more
- 19 Sep 2017
2
TL;DR: In this article, the authors proposed an image reconstruction method consisting of: the step a: performing frequency spectrum separation of an image, and obtaining the frequency spectrum component of the image; the step b: performing peak point search of the spectrum component, and the step c: calculating the lighting luminous modulation degree and initial phase through the linear fitting algorithm, and step d: performing deconvolution and translation processing for the normalization frequency spectrum components, and finally, the image reconstruction result was obtained by combining frequency spectrum combination after deconvolutions and translation.
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Abstract: The present invention relates to the image reconstruction technology field, especially to an image reconstruction method and system. The image reconstruction method comprises: the step a: performing frequency spectrum separation of an image, and obtaining the frequency spectrum component of the image; the step b: performing peak point search of the frequency spectrum component, and obtaining the lighting luminous direction and space frequency; the step c: calculating the lighting luminous modulation degree and initial phase through the linear fitting algorithm, performing correction of the frequency spectrum component through lighting luminous modulation degree and initial phase, and performing normalization of the coefficients of the frequency spectrum component; and step d: performing deconvolution and translation processing for the normalization frequency spectrum component, performing frequency spectrum combination of the frequency spectrum component after deconvolution and translation processing, and obtaining the reconstruction result of the image. The image reconstruction method and system set a filter function according to the lighting luminous space frequency initial value, perform filtering of the separation frequency spectrum, and perform peak point search so as to improve the solution precision and effectively improve the quality of the reconstruction image.
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Citations
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TL;DR: In this paper, the authors proposed an image processing method for background suppression, aiming at reducing background interference of image signal and solving the problem of low signal-to-noise ratio of HTV image under complex flow field.
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TL;DR: In this paper, a rapid method and system for directly reconstructing a structured light illumination super-resolution image in an airspace is proposed, where the operation is completely carried out in the space domain and thus the processes of frequency spectrum separation, frequency spectrum movement, and frequency spectrum fusion are avoided and timeconsuming multi-times forward/inverse Fourier transform operations are avoided.
2
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