An atmospheric turbulence degeneration video fast stabilizing method based on a Riesz pyramid
A technology of atmospheric turbulence and stabilization method, which is applied in image data processing, instrumentation, calculation, etc., can solve problems such as low computing efficiency, and achieve the effects of strong versatility, high computing efficiency, and elimination of turbulent distortion
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2019-06-28
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Abstract
Description
technical field
[0001] The invention relates to the technical fields of optical imaging and digital images, in particular to a fast stabilization method for atmospheric turbulence degradation video based on the Ritz pyramid. Background technique
[0002] The random transformation of meteorological parameters such as atmospheric temperature and humidity makes the atmospheric refractive index fluctuate randomly. When the light passes through the atmosphere whose refractive index fluctuates randomly, its direction of propagation will oscillate randomly, causing image blur and dynamic distortion in the imaging system. This degradation phenomenon is called optical turbulence effect. The optical turbulence effect reduces the imaging resolution, causes dynamic distortion of the imaging target, and affects the visual effect of the imaging system and target detection, tracking and recognition. How to eliminate the optical turbulence effect has always been a difficult problem in the...
Examples
Embodiment Construction
[0042] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:
[0043] Such as figure 1 Shown, a kind of atmospheric turbulence degradation video fast stabilization method based on Ritz pyramid of the present invention is as follows:
[0044] Step 1: Image Pyramid Decomposition
[0045]Strong noise has an adverse effect on temporal filtering. The image pyramid is used to decompose the image into subbands with different spatial frequencies. The signal-to-noise ratio of image subbands with lower spatial frequencies is improved, reducing the impact of noise on temporal filtering. . Therefore, before performing Riesz transformation (Ries transformation), it is necessary to use pyramid decomposition for each frame of image to reduce the spatial frequency.
[0046] The Laplacian pyramid is a compact pyramid in the spatial domain that decomposes an image into a series of high-pass components and a low-pass componen...