The invention relates to a camera interchangeable dynamic light splitting imaging system and a method thereof applied to high-dynamic imaging The system realizes high-quality imaging of a target by adopting a combined imaging mode, combining a rear-end image fusion processing algorithm, and forming a structure of a main lens, an adaptor, a plurality of cameras and multi-source image fusion According to the system, a single-sensor imaging mode of a one-time single light path of a conventional optical measuring system is changed into a dynamic light splitting multi-sensor imaging mode; key technologies, such as a large dynamic range imaging scheme, a light splitting ratio dynamic adjustable adaptor module and a multi-wave band high-dynamic image fusion algorithm, are broken through; the problems about integrated installing and synchronous imaging of a plurality of types of advanced sensors, multi-source image fusion, an enhanced processing algorithm and the like are solved; optical measurement information are acquired to the maximal extent; high-dynamic, high-speed, multi-wave band, high-resolution and high-quality imaging of a target in a target range is realized; the optical measurement level of a test in the target range is effectively improved

Camera interchangeable dynamic light splitting imaging system and method thereof applied to high-dynamic imaging

The invention provides a method and a system for adaptively restoring the true color of an image. The method comprises the following steps: performing training according to the pixel gray value of a reference object in a training set and the true color information of the reference object to obtain the corresponding relationship between the pixel gray value of an image captured under the conditionof environmental spectral information and the true color information of the image; receiving a current photographed image of the imaging device and current ambient spectral information of a spectral probe balanced with the center of the optical axis of the imaging device; analyzing the current photographed image to obtain the gray value of each pixel of the current photographed image; obtaining apixel gray level compensation value of the current photographed image according to the corresponding relationship between the pixel gray level value of the photographed image under the current environmental information and the true color information of the image; obtaining a restored image of the currently captured image according to the pixel gray compensation value of the currently captured image and the gray value of each pixel of the currently captured image. The invention can quickly and accurately restore the image color.

A method and a system for adaptively restoring the true color of an image

The invention discloses a spectral reconstruction method based on frequency domain coding. The method comprises the following steps: firstly, a spectral imaging system collects spectral information ofa scene by using a mask, and the mask modulates the spectral dimension and the spatial dimension of the scene image; then the modulated image is obtained by projecting the spectral information onto abroadband substrate to modulate the spectral change, and the modulated image is mapped to a Fourier domain for multiplexing. Finally, the encoded images compressed in spectrum and space are collectedby the sensor, and the spectral information is reconstructed by decoding the spectral dimension. The method of the invention not only can improve the spatial resolution, but also simplifies the spectral encoding and decoding process in the process of collecting and reconstructing data, avoids the complex calculation load, and realizes the high-precision capture of the high-spectral data in a short time.

A spectral reconstruction method based on frequency domain coding

The invention discloses an unmanned aerial vehicle-mounted light and small multispectral imaging system which comprises an image acquisition module for acquiring image information, a plurality of parallel spectral image extraction modules used for extracting image spectrum information under different wave bands, polarization modules which are in one-to-one correspondence with the image filtering modules and are used for extracting polarization spectrum information in the image spectrum information, a filtering module used for generating a filtering function and carrying out filtering processing on the polarization spectrum information through the filtering function, a filtering function adjusting module used for adjusting the filtering function, and an image synthesis module used for synthesizing an image by using the filtered polarization spectrum information. Defects in the prior art can be overcome, the system composition is simplified, and the imaging effect is improved.

Unmanned aerial vehicle-mounted light and small multispectral imaging system and imaging method thereof

The invention provides a method and system for automatically optimizing 3D stereoscopic impression and a medium, and the method sequentially comprises the following steps: 1, giving a current left image and a current right image, calculating stereoscopic parallax, and generating a parallax graph; 2, calculating a depth value corresponding to each pixel point by using the obtained parallax; 3, calculating to obtain the depth distance of the photographed object; 4, obtaining corresponding left and right image displacement values by using the depth distance calculated in the step 3; 5, applying the obtained image displacement value to 3D display. The method for automatically optimizing the 3D stereoscopic impression has the beneficial effect of solving the problems of fatigue and dizziness easily generated in the use process of the 3D endoscope. Through automatic optimization, symptoms can be relieved, and the comfort of the user can be guaranteed for a long time.

Method and system for automatically optimizing 3D stereoscopic impression and medium

The invention discloses a multispectral light-field imaging method. The adopted hardware comprises a wideband filter array, an isomerism camera array, a control panel array and an information joint processing device, wherein the wideband filter array, the isomerism camera array, the control panel array and the information joint processing device are arranged in sequence in the light path direction. The imaging method comprises the steps of placing wideband filters with different wavelengths among each camera lens and sensor of the isomerism camera array so that each camera in the isomerism camera array can receive spectral information with a fixed waveband ; using the information joint processing device to conduct stereo matching based on a convolutional neural network on multipath information obtained by the camera array to obtain angular information of incident ray and obtain optical field information within a full field range; conducting camera calibration and view field aligning on distribution positions of cameras, and obtaining multi-waveband spectral information of which the number is three times the number of cameras under any camera perspective in the camera array through spectral demultiplexing. According to the multispectral light-field imaging method, multispectral optical field information of each pixel with the full field range can be obtained simultaneously, and thus dynamic and united obtaining of optical field and spectral information is achieved.

Multispectral light-field imaging method

The invention discloses a spectral imaging system based on dispersion fuzziness, and a spectral reconstruction method of the spectral imaging system. The specific optical path of the spectral imagingsystem is that the light from a scene sequentially passes through a filter and an objective lens, and is divided into two ways: one way is directly collected by a first sensor, and a clear image is obtained; the other way sequentially passes through a focusing lens, a mask, a collimating mirror and a dispersing prism, and then is collected by a second sensor, and a fuzzy image is obtained. The mask is of an edge blocking type, and is used for carrying out the simple modulation of the fuzzy image, so as to obtain the edge information of the fuzzy image. The system can greatly reduce the calibration complexity, and improves the light transmission quantity, the signal-to-noise ratio and the spatial resolution of the system. The method for spectrum reconstruction through the imaging system canachieve the solving of the full-spatial-resolution spectrum information according to a series of constrain conditions, can achieve the real-time obtaining of the spectrum information of a dynamic scene in principle, and does not need to sacrifice the time and spatial resolution.

Spectral imaging system based on dispersion fuzziness, and spectral reconstruction method of spectral imaging system

The invention provides a multi-spectral optical field imaging system and a multi-spectral optical field imaging method based on color difference expansion principle. The multi-spectral optical field imaging system comprises a prepositive filter array, an imaging main lens group, an optical path expansion unit, a multi-spectral imaging unit, and an image calculation processing unit. The prepositive filter array is used to introduce information of various spectral range of a scene, The imaging main lens group comprises a plurality of lens units, and is used to correct the aberration of the imaging system. The optical path expansion unit is formed by regular high refractive index glass crystals, and is used to expand the color difference of the imaging system. The multi-spectral imaging unit is used to shoot spectral images passing through the lens group. The image calculation processing unit is used to calculate spectral image data, and is used to realize acquisition of multi-spectral optical field information by a local linear mapping algorithm. The multi-spectral optical field information of the scene can be acquired at the same time, and the system has advantages of simple structure and high-efficiency calculation.

Multi-spectral optical field imaging system and multi-spectral optical field imaging method based on color difference expansion principle

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Multispectral light-field imaging method

Spectral imaging system based on dispersion fuzziness, and spectral reconstruction method of spectral imaging system

Multi-spectral optical field imaging system and multi-spectral optical field imaging method based on color difference expansion principle