CN114323310B - High-resolution Hartmann wavefront sensor - Google Patents
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Abstract
本发明公开了一种高分辨率哈特曼波前传感器,将单个子孔径对应的图像传感器像素数设定为2×2阵列共4个像素,并通过微透镜焦距的优化设计,最终使哈特曼波前传感器的子孔径采样空间分辨率达到了双像素级别,并保持测量精度。本发明解决了传统哈特曼波前传感器技术方案中图像传感器像素利用率低下、图像数据冗余的关键问题,将像素利用率提升至近百分之百,同时将哈特曼波前传感器的空间分辨率提升至近像素级,并在同等空间分辨率下将哈特曼波前传感器的像素需求量和图像数据量下降一个数量级以上,为超高空间分辨率哈特曼波前传感器研制提供可行技术方案,此外极少的像素需求也可用于研制超高速哈特曼波前传感器。
The invention discloses a high-resolution Hartmann wavefront sensor. The number of pixels of an image sensor corresponding to a single sub-aperture is set to a total of 4 pixels in a 2×2 array, and through the optimal design of the focal length of the microlens, the Ha The sub-aperture sampling spatial resolution of the Terman wavefront sensor reaches the double-pixel level and maintains measurement accuracy. The invention solves the key problems of low pixel utilization rate and redundant image data of the image sensor in the traditional Hartmann wavefront sensor technical scheme, improves the pixel utilization rate to nearly 100%, and improves the spatial resolution of the Hartmann wavefront sensor at the same time To the near-pixel level, and at the same spatial resolution, the pixel demand and image data volume of Hartmann wavefront sensors are reduced by more than an order of magnitude, providing a feasible technical solution for the development of ultra-high spatial resolution Hartmann wavefront sensors. In addition The extremely small pixel requirements can also be used to develop ultra-high-speed Hartmann wavefront sensors.
Description
技术领域technical field
本发明属于光学工程技术领域,涉及一种探测光束波前畸变的装置,尤其涉及一种高分辨率的哈特曼波前传感器。The invention belongs to the technical field of optical engineering, and relates to a device for detecting wavefront distortion of light beams, in particular to a high-resolution Hartmann wavefront sensor.
背景技术Background technique
哈特曼波前传感器是一种广泛应用的光束波前畸变测量设备,因兼具结构简洁、速度快、精度高、环境适应性好等优点,在自适应光学、光学检测、流场测量等领域不断取得成功应用。The Hartmann wavefront sensor is a widely used beam wavefront distortion measurement device. Because of its simple structure, fast speed, high precision, and good environmental adaptability, it is widely used in adaptive optics, optical detection, and flow field measurement. Fields continue to be successfully applied.
典型的哈特曼波前传感器结构可以参见中国专利申请公开说明书(申请号98112210.8,公开号CN1245904)公开的一种光学波前传感器,其实现方式主要采用波前分割取样阵列元件如微透镜阵列对波前进行子孔径分割,将类似于数学微积分的处理方法用于波前测量中,只需要测量每个子孔径中的倾斜像差大小即可用特定的复原算法复原整个孔径的波前像差。而子孔径中的倾斜像差分量是根据光波经过微透镜聚焦得到的远场光斑质心偏移确定的,哈特曼波前传感器一般使用阵列型图像传感器(比如CCD或CMOS相机)探测微透镜阵列焦面上形成的光斑阵列。The structure of a typical Hartmann wavefront sensor can be referred to an optical wavefront sensor disclosed in the Chinese Patent Application Publication (Application No. 98112210.8, Publication No. CN1245904). The wavefront is divided into sub-apertures, and a processing method similar to mathematical calculus is used in the wavefront measurement. It only needs to measure the size of the oblique aberration in each sub-aperture, and the wavefront aberration of the entire aperture can be restored with a specific restoration algorithm. The oblique aberration component in the sub-aperture is determined according to the far-field spot centroid shift obtained by focusing the light wave through the microlens. The Hartmann wavefront sensor generally uses an array image sensor (such as a CCD or CMOS camera) to detect the microlens array. An array of spots formed on the focal plane.
根据探测原理,哈特曼波前传感器的探测空间分辨率受到微透镜阵列分割密度的限制,且需在图像传感器上为每个子光斑划定一定区域的像素作为子孔径。受此限制,哈特曼波前传感器的空间分辨率很难达到近像素级,并且图像传感器需具有一定的像素分辨率用于全部子光斑阵列的成像。因此,哈特曼波前传感器对于图像传感器的像素分辨率需求较高,但利用率较低,在超高速波前探测场景时海量高分辨率图像数据严重限制了实际的测量速度。According to the detection principle, the detection spatial resolution of the Hartmann wavefront sensor is limited by the segmentation density of the microlens array, and it is necessary to delineate a certain area of pixels for each sub-spot on the image sensor as the sub-aperture. Due to this limitation, the spatial resolution of the Hartmann wavefront sensor is difficult to reach near-pixel level, and the image sensor needs to have a certain pixel resolution for imaging of all sub-spot arrays. Therefore, the Hartmann wavefront sensor has high requirements for the pixel resolution of the image sensor, but the utilization rate is low. In the ultra-high-speed wavefront detection scene, a large amount of high-resolution image data severely limits the actual measurement speed.
针对哈特曼波前传感器空间分辨率与像素利用率的问题,1996年Ragazzoni首先提出一种四棱锥(Pyramid)波前传感技术概念(Ragazzoni R.Pupil plan wavefrontsensing with an oscillating prism[J].J.Mod.Opt.,1996,43:289~293)。该传感器将四棱锥作为一个二维分光棱镜,配合透镜组实现对入射光束的光瞳分区和成像,在探测器上划分四象限区域分别探测不同光瞳孔径的波前斜率,进而完成波前探测,具有波前测量动态范围大、灵敏度高、采样分区方式灵活等优点。理论上,四棱锥传感器每个波前斜率采样点只需要四个像素,可实现高分辨波前探测。但四棱锥波前传感器目前仍存在光束聚焦位置控制、四棱锥的棱边和顶角高精度加工要求、求解拟合模型等问题,这就限制了四棱锥波前传感器的广泛应用。Aiming at the problem of spatial resolution and pixel utilization of the Hartmann wavefront sensor, Ragazzoni first proposed a concept of Pyramid wavefront sensing technology in 1996 (Ragazzoni R.Pupil plan wavefrontsensing with an oscillating prism[J]. J. Mod. Opt., 1996, 43:289-293). The sensor uses the quadrangular pyramid as a two-dimensional dichroic prism, cooperates with the lens group to realize the pupil division and imaging of the incident beam, divides the four-quadrant area on the detector to detect the wavefront slope of different pupil apertures, and then completes the wavefront detection , which has the advantages of large dynamic range of wavefront measurement, high sensitivity, and flexible sampling partition methods. Theoretically, each wavefront slope sampling point of the quadrangular pyramid sensor only needs four pixels, which can realize high-resolution wavefront detection. However, the quadrangular pyramidal wavefront sensor still has problems such as beam focus position control, high-precision processing requirements for the edges and apex angles of the quadrangular pyramid, and solving fitting models, which limits the wide application of the quadrangular pyramidal wavefront sensor.
随着应用领域的不断延伸,对高性能的波前传感器需求日益强烈,具备高空间分辨率、高像素利用率、光能利用率以及高速探测潜力的新型波前传感器技术势必具有较好的应用前景。With the continuous extension of application fields, the demand for high-performance wavefront sensors is increasingly strong, and new wavefront sensor technologies with high spatial resolution, high pixel utilization, light energy utilization and high-speed detection potential are bound to have better applications prospect.
发明内容Contents of the invention
本发明要解决的技术问题是:克服现有哈特曼波前传感器在分辨率与像素利用率方面的不足,通过特定的子孔径与像素对应设计,并结合微透镜阵列焦距选取,将哈特曼波前传感器空间分辨率提升至2个像素尺寸级,像素利用率几乎达到百分之百。The technical problem to be solved by the present invention is: to overcome the deficiencies of the existing Hartmann wavefront sensor in terms of resolution and pixel utilization, through the corresponding design of specific sub-apertures and pixels, combined with the selection of the focal length of the microlens array, the Hartmann The spatial resolution of the Mamwave front sensor is increased to 2 pixel size levels, and the pixel utilization rate is almost 100%.
本发明解决上述技术问题采用的技术方案是:一种高分辨率哈特曼波前传感器,主要由微透镜阵列和阵列型图像传感器组成,微透镜阵列覆于阵列型图像传感器感光芯片上方,将入射的待测光束分割为子孔径阵列即细光束阵列并聚焦,阵列型图像传感器的感光芯片置于微透镜阵列下方,两者间距为微透镜阵列焦距,用于探测经过微透镜阵列分割聚焦的待测光束强度分布信息,每个子孔径仅对应2×2排列共4个图像传感器像素,相邻子孔径对应像素区域的中心间距为单像素尺寸的2倍,微透镜阵列焦距f范围为Lp 2/λ≤f≤4Lp 2/λ,其中Lp为像素宽度尺寸,λ为探测光束波长,根据每个子孔径对应的2×2排列像素的光强信号值,即可得到当前子孔径对应细光束聚焦光斑质心数据:The technical solution adopted by the present invention to solve the above-mentioned technical problems is: a high-resolution Hartmann wavefront sensor, mainly composed of a microlens array and an array-type image sensor, the microlens array is covered on the photosensitive chip of the array-type image sensor, and the The incident beam to be measured is divided into a sub-aperture array, that is, a thin beam array and focused. The photosensitive chip of the array image sensor is placed under the microlens array, and the distance between the two is the focal length of the microlens array. Beam intensity distribution information to be measured, each sub-aperture only corresponds to a total of 4 image sensor pixels in a 2×2 arrangement, the center-to-center spacing of pixel areas corresponding to adjacent sub-apertures is twice the size of a single pixel, and the focal length f range of the microlens array is L p 2 /λ≤f≤4L p 2 /λ, where L p is the pixel width size, λ is the probe beam wavelength, according to the light intensity signal value of the 2×2 array pixels corresponding to each sub-aperture, the current sub-aperture corresponds to Spot centroid data of narrow beam focus:
其中,I1、I2、I3、I4分别代表2×2排列图像传感器像素中左上、右上、左下和右下的像素灰度值,根据上述质心计算公式计算每一个子孔径内光斑质心数据,最后基于所有有效子孔径的光斑质心数据即可利用哈特曼波前传感器波前复原算法重建整个待测光束的波前畸变信息。Among them, I 1 , I 2 , I 3 , and I 4 represent the pixel gray values of the upper left, upper right, lower left, and lower right of the 2×2 array image sensor pixels, and calculate the centroid of the light spot in each sub-aperture according to the above centroid calculation formula Finally, based on the spot centroid data of all effective sub-apertures, the wavefront distortion information of the entire beam to be measured can be reconstructed using the Hartmann wavefront sensor wavefront restoration algorithm.
进一步地,所述的阵列型图像传感器具有二维阵列排列的感光像素,可以是CCD传感器相机、CMOS传感器相机、PDA探测器等。Further, the array image sensor has photosensitive pixels arranged in a two-dimensional array, and may be a CCD sensor camera, a CMOS sensor camera, a PDA detector, or the like.
进一步地,所述的2×2排列共4个图像传感器像素,可以是图像传感器单个物理像素,也可以是图像传感器经像素合并功能后输出图像中的单个数值像素,此时单个数值像素的尺寸为传感器单个物理像素尺寸的整数倍。Further, the 4 image sensor pixels in the 2×2 arrangement can be a single physical pixel of the image sensor, or a single numerical pixel in the output image of the image sensor after the pixel combination function. At this time, the size of a single numerical pixel is It is an integer multiple of the size of a single physical pixel of the sensor.
进一步地,所述的有效子孔径是指对应的光斑质心数据参与波前复原计算的子孔径,可以是被入射光束完整覆盖的子孔径,也可以是被入射光束部分覆盖的子孔径。Further, the effective sub-aperture refers to the sub-aperture whose corresponding spot centroid data participates in the wavefront restoration calculation, which may be a sub-aperture completely covered by the incident beam, or a sub-aperture partially covered by the incident beam.
本发明与现有技术相比有如下优点:本发明所述方法每个子孔径的探测只需要2×2共4个像素,在相同的图像传感器像素分辨率下,较现有技术可以分割更多的子孔径阵列数,可实现更高的波前采样分辨率;其次,本发明单个子孔径仅需要4个像素,在相同的子孔径阵列数下,实现波前探测所需的图像传感器像素数较现有技术可缩减至少一个数量级以上,图像像素数压缩对于实现实时高速波前测量至关重要;最后,通过特定的焦距设计,本发明每个子孔径对应的4个像素都有有效光强信息,因此本发明波前探测所用的图像传感器像素理论上都有光强数据,像素利用率可达百分之百,较现有技术至少提高2倍以上。因此本发明理论上可以实现极高分辨率的波前探测、极高的图像传感器像素利用率,此外还具有极高速波前探测的技术潜力,在高性能波前探测场景将具有重要应用价值。本发明将图像传感器上每2×2个像素作为位置传感器,将图像传感器变成大规模的位置传感器阵列,这种应用方式对于图像传感器也是一种创新。Compared with the prior art, the present invention has the following advantages: the detection of each sub-aperture in the method of the present invention only needs 2×2 total 4 pixels, and under the same pixel resolution of the image sensor, it can divide more sub-apertures than the prior art The number of sub-aperture arrays can achieve higher wavefront sampling resolution; secondly, a single sub-aperture of the present invention only needs 4 pixels, and under the same number of sub-aperture arrays, the number of image sensor pixels required for wavefront detection Compared with the existing technology, it can be reduced by at least one order of magnitude, and image pixel number compression is very important for realizing real-time high-speed wavefront measurement; finally, through a specific focal length design, the 4 pixels corresponding to each sub-aperture of the present invention have effective light intensity information Therefore, the image sensor pixels used for wavefront detection in the present invention theoretically have light intensity data, and the pixel utilization rate can reach 100%, which is at least 2 times higher than that of the prior art. Therefore, the present invention can theoretically realize extremely high-resolution wavefront detection and extremely high image sensor pixel utilization, and also has the technical potential of extremely high-speed wavefront detection, which will have important application value in high-performance wavefront detection scenarios. The present invention uses every 2×2 pixels on the image sensor as a position sensor, and turns the image sensor into a large-scale position sensor array. This application method is also an innovation for the image sensor.
附图说明Description of drawings
图1为本发明的高分辨率哈特曼波前传感器原理结构图;Fig. 1 is the schematic structural diagram of the high-resolution Hartmann wavefront sensor of the present invention;
图2为本发明实施例一中高分辨率哈特曼波前传感器子孔径分割设计图;Fig. 2 is a sub-aperture segmentation design diagram of a high-resolution Hartmann wavefront sensor in
图3为本发明实施例一中随机生成的畸变波前分布示意图;3 is a schematic diagram of randomly generated distorted wavefront distribution in
图4为本发明实施例一中高分辨率哈特曼波前传感器平行光标定时图像传感器上光斑图像;4 is a spot image on a high-resolution Hartmann wavefront sensor parallel cursor timing image sensor in
图5为本发明实施例一中含畸变波前光束入射下高分辨率哈特曼波前传感器图像传感器上光斑图像;Fig. 5 is the light spot image on the image sensor of the high-resolution Hartmann wavefront sensor under the incident light beam containing the distorted wavefront in
图6为本发明实施例一中高分辨率哈特曼波前传感器测量得到的复原波前23阶像差模式系数(白色柱状数据)与组成输入波前的像差模式系数(黑色柱状数据)示意图;6 is a schematic diagram of the 23rd-order aberration mode coefficients (white columnar data) of the restored wavefront measured by the high-resolution Hartmann wavefront sensor in
图7为本发明实施例一中高分辨率哈特曼波前传感器复原波前示意图;7 is a schematic diagram of a wavefront restored by a high-resolution Hartmann wavefront sensor in
图8为本发明实施例一中波前传感器复原波前与输入波前之间的误差波前示意图。FIG. 8 is a schematic diagram of an error wavefront between a restored wavefront of a wavefront sensor and an input wavefront in
具体实施方式Detailed ways
下面结合附图和实施例对本发明作进一步说明。The present invention will be further described below in conjunction with drawings and embodiments.
图1为本发明所述高分辨率哈特曼波前传感器原理结构图,待测光束微透镜阵列子孔径分割之后分别聚焦于图像传感器感光芯片上,形成光斑阵列,每个微透镜或称子孔径对应着图像传感器感光芯片上2×2个像素区域。图2给出了本发明实施例一设计的高分辨率哈特曼波前传感器子孔径分割图,输入待测光束波长λ设为635nm,光瞳为圆形,波前传感器采用12×12孔径分割(图中网格线)。为了方便计算,选取被光束完全覆盖、充满光能量的子孔径作为有效子孔径,图中用实线网格表示;虚线网格部分子孔径则设置为无效子孔径,不参与波前复原计算。图2中右上角子图给出了每个子孔径对应着图像传感器2×2像素的示意,图像传感器像素尺寸Lp为14μm,直接对应着每个微透镜和子孔径的尺寸为28μm×28μm,为单个物理像素尺寸的2倍,微透镜阵列焦距f在Lp 2/λ≤f≤4Lp 2/λ的要求范围内取值1.5Lp 2/λ,约为926μm。在12×12子孔径分割下,对光斑阵列图像信息完整采样所需的像素分辨率为28×28,可以看出实施例一的波前传感器对图像传感器像素资源需求极少。Fig. 1 is the schematic structural diagram of the high-resolution Hartmann wavefront sensor of the present invention. After the sub-apertures of the microlens array of the light beam to be measured are divided, they are respectively focused on the photosensitive chip of the image sensor to form an array of light spots. Each microlens or sub-aperture The aperture corresponds to the 2×2 pixel area on the photosensitive chip of the image sensor. Figure 2 shows the sub-aperture segmentation diagram of the high-resolution Hartmann wavefront sensor designed in
为测试实施例一高分辨率哈特曼波前传感器的像差测量能力,输入光束波前畸变采用前23阶Zernike像差模式组成,该组23阶Zernike像差模式的系数为随机生成,分布满足科尔莫哥诺夫湍流模型,生成的随机波前如图3所示,PV值为2.8874λ,RMS值为0.4861λ。高分辨率哈特曼波前传感器平行光标定时图像传感器上光斑图像如图4所示,该光斑阵列图与常规的哈特曼波前传感器的光斑阵列图有很大的不同,没有独立的子光斑图像,光瞳区域内每个像素都有数据,展现了本发明高分辨率哈特曼波前传感器的高像素利用率。标定状态下,各子孔径内光斑的初始x、y方向质心位置xcali、ycali可由下式得到:In order to test the aberration measurement capability of the high-resolution Hartmann wavefront sensor of
其中,分别代表标定状态下单个子孔径对应2×2排列图像传感器像素中左上、右上、左下和右下的像素灰度值。in, Respectively represent the pixel gray values of the upper left, upper right, lower left and lower right of the pixels of the 2×2 array image sensor corresponding to a single sub-aperture in the calibration state.
本发明仅涉及对波前斜率实现高分辨率的新方法,对获取波前斜率信息之后重构波前复原的数学过程无特殊要求,因此本发明可以适配各类哈特曼波前传感器波前复原算法。实施例一哈特曼波前传感器采用模式法复原波前,根据子孔径分割排布和设定的23阶Zernike像差模式,即可根据经典模式法构建子孔径内光斑质心偏移或斜率数据计算像差模式系数的复原矩阵,该矩阵可作为系统配置提前生成。The present invention only involves a new method for realizing high resolution to the wavefront slope, and has no special requirements for the mathematical process of reconstructing the wavefront after obtaining the wavefront slope information, so the present invention can be adapted to various types of Hartmann wavefront sensor wave pre-recovery algorithm.
在实施例一中含待测波前畸变光束输入下,高分辨率哈特曼波前传感器图像传感器上光斑图像如图5所示,与标定时相比存在明显的像素信息变化。通过该光斑图像,含待测波前畸变光束输入下每个子孔径内的x、y方向质心位置xc、yc可由下面的质心计算公式得到:Under the input of the light beam containing the wavefront distortion to be measured in
其中,I1、I2、I3、I4分别代表2×2排列图像传感器像素中左上、右上、左下和右下的像素灰度值。将每个子孔径内光斑的xc、yc与标定时对应的初始位置xcali、ycali相减即可分别得到待测波前畸变输入下每个子孔径内的光斑质心偏移或称波前斜率数据。最后基于所有有效子孔径内的光斑质心偏移数据即可利用哈特曼波前传感器模式复原算法和复原矩阵,计算出输入波前畸变的Zernike像差模式系数成分,如图6所示。图6中波前传感器测量得到的23阶像差模式系数(白色柱状数据)与组成输入波前的像差模式系数(黑色柱状数据)吻合得很好,表明实施例一中高分辨率哈特曼波前传感器对输入像差成分作了准确的测量。进一步利用复原的像差模式系数,重建整个待测光束的波前畸变信息,如图7所示。图7中复原波前的大小、分布与输入波前高度一致,其中PV值和RMS值吻合程度高达99%和98%。复原波前与输入波前之间的误差波前如图8所示,误差波前的PV值和RMS值分别只有0.08λ和0.0122λ,再次证明波前传感器准确的复原了输入波前畸变的分布。实施例一表明,提出的高分辨率哈特曼波前传感器可以在每个子孔径仅对应2×2共4个像素的情况下实现对波前畸变的准确复原,子孔径尺寸为2倍物理像素尺寸,哈特曼波前传感器空间分辨率提升至双像素量级。Wherein, I 1 , I 2 , I 3 , and I 4 respectively represent the gray values of the upper left, upper right, lower left, and lower right pixels in the 2×2 array of image sensor pixels. Subtract the x c , y c of the light spot in each sub-aperture from the corresponding initial position x cali , y cali during calibration to obtain the centroid shift or wavefront of the light spot in each sub-aperture under the input of the wavefront distortion to be measured slope data. Finally, based on the spot centroid offset data in all effective sub-apertures, the Hartmann wavefront sensor mode restoration algorithm and restoration matrix can be used to calculate the Zernike aberration mode coefficient components of the input wavefront distortion, as shown in Figure 6. The 23rd-order aberration mode coefficient (white columnar data) obtained by the wavefront sensor measurement in Fig. 6 agrees well with the aberration mode coefficient (black columnar data) forming the input wavefront, indicating that the high-resolution Hartmann The wavefront sensor makes accurate measurements of the input aberration components. Further use the restored aberration mode coefficients to reconstruct the wavefront distortion information of the entire beam to be measured, as shown in FIG. 7 . The size and distribution of the restored wavefront in Fig. 7 are highly consistent with the input wavefront, and the agreement between the PV value and the RMS value is as high as 99% and 98%. The error wavefront between the restored wavefront and the input wavefront is shown in Figure 8. The PV value and RMS value of the error wavefront are only 0.08λ and 0.0122λ respectively, which proves again that the wavefront sensor can accurately restore the distortion of the input wavefront. distributed. Example 1 shows that the proposed high-resolution Hartmann wavefront sensor can achieve accurate restoration of wavefront distortion when each sub-aperture only corresponds to a total of 4 pixels of 2×2, and the sub-aperture size is twice the physical pixel size, the spatial resolution of the Hartmann wavefront sensor is increased to the order of two pixels.
以上所述,仅为本发明中的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉该技术的人在本发明所揭露的技术范围内,可理解想到的变换或替换,都应涵盖在本发明的包含范围之内。The above is only a specific implementation mode in the present invention, but the scope of protection of the present invention is not limited thereto. Anyone familiar with the technology can understand the conceivable transformation or replacement within the technical scope disclosed in the present invention. All should be covered within the scope of the present invention.
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