Equipment for reconstructing high dynamic image in high resolution
A super-resolution, image reconstruction technology, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of complex processing technology, high cost, insufficient use of information, etc., to achieve simple realization principle and improve performance. Effect
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specific Embodiment approach 1
[0034]The high dynamic and super-resolution image reconstruction device is composed of three parts: image sensing module (a), image synthesis and output module (b), computer processing and display (c). figure 2 What is shown is a mutual positional relationship adopted by each image plane when four images are synthesized, that is, a half-pixel offset. That is, there is only half a pixel difference between the image sensor 0 (the circle indicates the pixel position of the sensor) and the image sensor 1 (the small triangle indicates the pixel position of the sensor), and they are parallel in the vertical direction. The pixel positions of the other two images are shown in the figure.
[0035] image 3 is the positional relationship of pixels on the two sensor planes when two images are combined. Figure 4 , Figure 5 It is a schematic diagram of a beam splitting system realized by a beam splitting prism when three image sensors are used.
[0036] A luminous flux control part ...
specific Embodiment approach 2
[0041] High dynamic, super-resolution image reconstruction can also be obtained by the following process:
[0042] (1) Set the exposure integration time of the four image sensors, and the exposure time of each image is proportional, for example: e 1 =4e 2 ; and so on;
[0043] (2) Simultaneously expose the four images, and perform position correction preprocessing, so that the corrected image satisfies figure 2 the positional relationship shown;
[0044] (3) Press the four images to figure 2 Merge to obtain an image with an increased size, which is four times the size of the original image;
[0045] (4) Set the threshold, remove the saturated points and noise points in the synthesized image, after normalization, use the gray interpolation method to reconstruct the gray value of these points;
[0046] (5) Post-processing the image to obtain a high dynamic, super-resolution image output result.
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