An Optimal Order Estimation Method
An order and optimal technology, applied in computing, image data processing, image enhancement, etc., can solve the problems of poor quality of ghost imaging and affect the practicability of ghost imaging, and achieve high practicability
Active Publication Date: 2017-05-17
NANJING UNIV OF SCI & TECH
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However, the quality of ghost imaging based on thermal light sources is poor, which affects the practicability of ghost imaging
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[0036] Such as figure 1 As shown, the optimal order estimation method of the present invention comprises the following steps:
[0037] (1) The number of pixel blocks corresponding to the number of pixels in the image information area is called the effective number of pixels. A single-slit image is taken for simulation, and the effective pixel numbers are 20, 50, 100, 140, 200, and 240, respectively. A single-slit image with 20 effective pixels such as figure 2 As shown, the number of effective pixels is equal to the number of pixels in the signal area divided by the pixel block size. High-order ghost imaging is divided into two beams of related light by the signal light source through the BS (beam splitter), one beam of light is directly received by the CCD, called the reference light source, and the other beam of light is received by the same detector after passing through the object, called is the object light source, the reference light source corresponds to the referen...
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The invention discloses a method for estimating the number of optimal orders. The method is suitable for estimating the number of corresponding orders when the quality of a high-order ghost imaging image is the best, and the number of the orders at the moment is the number of the optimal orders; the number of pixel blocks corresponding to the number of pixels in an image information area is called as the number of effective pixels; high-level processing is performed on a reference image and an object image through stimulating a ghost imaging experiment, a reconstructed image is stimulated, and the contrast ratio and the carrier-to-noise ratio of the reconstructed image are calculated; in combination with a high-order ghost imaging image quality assessment method, the number of the optimal orders corresponding to high-order ghost imaging under the condition of the number of the different effective pixels is estimated, and a relation between the number of the optimal orders and the number of the effective pixels is preliminarily speculated. According to the method, based on data information of the reconstructed image, the effect of the contrast ratio and the carrier-to-noise ratio on the image quality is considered. Compared with a traditional method for determining the number of the optimal orders, the method has the benefits that the image quality assessment is more complete, the actual experiment results are more satisfied, and the practicability is higher.
Description
technical field [0001] The invention belongs to the technical field of image quality evaluation, in particular to an optimal order estimation method. Background technique [0002] Ghost imaging, also known as two-photon imaging or correlated imaging, is a new imaging technology that uses two-photon coincidence detection to restore the spatial information of the object to be measured. Traditional optical observation is based on the distribution measurement of the intensity of the light field, while correlation optics is based on the correlation measurement of the intensity of the light field, and the existing imaging technology mainly uses the first-order correlation information (intensity and phase) of the light field, while the classical ghost Imaging exploits the second-order correlation of the light field as a statistical correlation of intensity fluctuations. In 1995, Pittman first reported the use of SPDC method to generate entangled light, and completed the ghost imag...
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IPC IPC(8): G06T5/00
CPCG06T7/0002G06T2207/10052G06T2207/30168
Inventor 张闻文斯雪峰何睿清张伟良李百凌陈钱顾国华何伟基钱惟贤隋修宝屈惠明路东明于雪莲任侃王利平王庆宝张毅
Owner NANJING UNIV OF SCI & TECH