High speed single-pixel imaging method
An imaging method and single-pixel technology, applied in image communication, image data processing, graphics and image conversion, etc., can solve the problems of slow imaging speed, long measurement time of single-pixel imaging, and inability to realize real-time imaging
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Embodiment 1
[0032] The physical picture of the target object is as Figure 5 shown. First, according to the formula Generate a series of spatial frequencies (f x , f y ) are different, the initial phase Different Fourier basis patterns. The image size of each pattern is 256×256 pixels. Among them, f x and f y The value of is 0, The values of a and b are 0°, 120° and 240°; both a and b are 1, and the Fourier base pattern is represented by an 8-bit grayscale image, that is, the grayscale value of each pixel on the image is quantized from 0 to 255 an integer between. Since the Fourier spectrum of an image has conjugate symmetry, only half of the Fourier coefficients in the Fourier spectrum have to be sampled. In this example we only obtain the Fourier spectrum part of the coefficient. Therefore, a total of 256×256×3÷2=98304 Fourier-based patterns are generated.
[0033]Then, use the general cubic interpolation algorithm (Cubic Interpolation) to interpolate all Fourier-base...
Embodiment 2
[0038] First, according to the formula Generate a series of spatial frequencies (f x , f y ) are different, the initial phase Different Fourier basis patterns. The image size of each pattern is 128×128 pixels. where f x and f y The value of is 0, The value of is 0, and Both a and b take 1, and the Fourier-based pattern is represented by an 8-bit grayscale image, that is, the grayscale value of each pixel on the image is quantized to an integer between 0 and 255. In this embodiment, the sparsity of the Fourier spectrum of the natural image is utilized, that is, the energy of the image is mainly concentrated in the low spatial frequency region of the Fourier spectrum, and we only sample 333 Fourier coefficients in the Fourier spectrum. Since obtaining a Fourier coefficient requires three patterns with the same spatial frequency but different initial phases, we generate 999 Fourier-based patterns with the lowest spatial frequency.
[0039] Then, use the general cub...
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