IMU-based off-chip TDI low-illumination space-time enhancement method and system
A space-time enhancement and enhancement system technology, applied in the field of image processing, can solve the problems of blurred imaging, difficult follow-up processing, low image contrast, etc., and achieve the effect of improving brightness resolution and signal-to-noise ratio
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Embodiment 1
[0043] Due to the weak ambient light, the grayscale response of a single image is weak. Then align multiple low-light images and superimpose the grayscale values of corresponding pixels to complete the enhancement of grayscale information and improve the brightness of the image. resolution. The system scheme is divided into four parts: system input end, system control end, system processing end, and system output end. figure 1 As shown, the transformation from the world coordinate system to the camera coordinate system involved is as follows figure 2 shown.
[0044] The system input includes: electric pan / tilt, which can control the camera to perform constant rotation for dynamic measurement. IMU, IMU is a device that measures the three-axis attitude angle (or angular rate) and acceleration of an object, and obtains the inter-frame displacement of the camera through the information returned by the IMU; the camera lens, which optically images the surface information of t...
Embodiment 2
[0049] The inventive method comprises the steps:
[0050] 1. Control the electric gimbal to drive the camera to move, and obtain the measurement information of the IMU while the camera is collecting images.
[0051] 2. Carry out joint calibration of the camera and IMU, determine the internal parameters of the camera and the external parameters of the camera relative to the IMU.
[0052] 3. Through the real-time angle data output by the IMU, the relative positional relationship between the camera between the current frame and the reference frame is obtained, so that the image data of the current frame is back-calculated to the reference frame, thereby determining the rough matching relationship between image pixels between frames .
[0053] 4. Estimate and predict the possible motion trajectory of the previous frame and the current frame, and determine the motion area in the image. After the matching relationship between the feature points of the moving object obtained through i...
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