Aiming at the problems of traditional wavefront coding system, such as single phase mask (modulation) and limited extended depth of field, a wavefront coding imaging system using deformable mirror (DM) is proposed to realize dynamic coding. In this paper, continuous pure phase coding based on Zernike polynomial is designed by the simulated annealing algorithm for different defocus distances, with the aim of thus getting the most suitable coding strength for different defocus distance. And in the decoding process, the PSF of the defocused position corresponding to the blurred image is used for restoration, which reduces the artifacts caused by using the PSF of the focal position to restore all the defocused images. The experiment shows that compared with the traditional fixed phase mask, the wavefront coding imaging system of DM can achieve dynamic coding and decoding, which increases the imaging flexibility of the wavefront coding system and improves the quality of the decoded image.
Aiming at the low accuracy of behavior recognition technology for multi-target human behavior recognition in small and medium scenes, a method for multi-target human behavior recognition in small and medium scenes is proposed. In this paper, YOLOv5 and DeepSort are used to detect, track and locate human targets in the video stream. According to the detection frame, the appropriate size of the human target is cropped as the input image of the behavior recognition module to reduce the interference of human behavior background, and finally realize the multi-target human body behavior recognition. The behavior recognition module is composed of an improved C3D network, and the features extracted by YOLOv5 are shared with the behavior recognition module to reduce the amount of computation. Experiments show that this method achieves end-to-end recognition,and can recognize the behavior of different target human bodies in small and medium scenes, and achieves comparable results.
In recent years, the field of image super-resolution has mainly focused on the single-image super-resolution (SISR) task, which is to estimate an HR image from a single LR input. Due to the ill-posed ness of the SISR problem, these methods are limited to increasing the high-frequency details of the image by learning the a priori of the image. And multi-frame super-resolution (MFSR) provides the possibility to reconstruct rich details using the spatial and temporal difference information between images. With the increasing popularity of array camera technology, this key advantage makes MFSR an important issue for practical applications. We propose a new structure to complete the task of multi-frame image super-resolution. Our network takes multiple noisy images as input and generates a denoised, super-resolution RGB image as output. First, we align the multi-frame images by estimating the dense pixel optical flow between the images, and construct an adaptive fusion module to fuse the information of all frames. Then we build a feature fusion network to simultaneously fuse the depth feature information of multiple LR images and the internal features of the initial high-resolution image. In order to evaluate real-world data, We use the BurstSR data set, which includes real images of smartphones and highresolution SLR cameras, to prove the effectiveness of the proposed multiframe image super-resolution algorithm.
This paper proposes a new salient region detection algorithm to detect and recognize ship on the sea in a shaky field of
view. Based on this situation, the approach this paper adopts to solve the problem is detecting the salient region of each
frame separately instead of using tracking algorithm and the salient region detection is based on local and global
contrast. The result shows that the interference can be restrained and the shape of target can be detected correctly. It
proves that the algorithm in this paper is a highly efficient target detection algorithm for ship detection.
In this paper, we analyze and experimentally demonstrate the medium-wave infrared (MWIR) imaging ability based on optical readout bimaterial microcantilever focal plane array (FPA) uncooled infrared imaging system. Multiband infrared imaging technology has been a hotspot in the field of infrared imaging. In the infrared band, medium-wave infrared (3~5 μm) has minimal attenuation of atmospheric infrared window, and it also covers many atomic and molecular absorption peak. Imaging study on MWIR radiation source also appears particularly important. First of all, we introduce the bimaterial microcantilever IR sensing principle and the fabrication of the bimaterial microcantilever FPA. Secondly, the paper introduces the theory of the optical-thermal-mechnical reading based on FPA. Finally, the experimental platform was constructed to conduct the MWIR imaging experiment. The medium-wave infrared radiation source consists of a continuous-wave optical parametric oscillator (OPO) that is pumped by a polarization-maintained, single-mode fiber amplifier. The length of the 50mm periodically polarized LiNbO3 crystal (5%MgO) is used as the nonlinear crystal. The stable cavity of the ring is designed, and the output of the 3~4 μm band is realized by the design of the nonlinear crystal polarization period. And the FPA employed in our experiment contains 256×256 pixels fabricated on a glass substrate, whose working bandwidth is covering the three IR atmospheric windows. The experimental results show that the bimaterial microcantilever FPA has a good imaging ability to the MWIR sources.
The comparison goniometer is widely used to measure and inspect small angle, angle difference, and parallelism of two
surfaces. However, the common manner to read a comparison goniometer is to inspect the ocular of the goniometer by
one eye of the operator. To read an old goniometer that just equips with one adjustable ocular is a difficult work. In the
fabrication of an IR reflecting mirrors assembly, a common comparison goniometer is used to measure the angle errors
between two neighbor assembled mirrors. In this paper, a quick reading technique image-based for the comparison
goniometer used to inspect the parallelism of mirrors in a mirrors assembly is proposed. One digital camera, one
comparison goniometer and one set of computer are used to construct a reading system, the image of the sight field in the
comparison goniometer will be extracted and recognized to get the angle positions of the reflection surfaces to be
measured. In order to obtain the interval distance between the scale lines, a particular technique, left peak first method,
based on the local peak values of intensity in the true color image is proposed. A program written in VC++6.0 has been
developed to perform the color digital image processing.
The development of the un-cooled infrared imaging technology from military necessity. At present, It is widely
applied in industrial, medicine, scientific and technological research and so on. The infrared radiation temperature
distribution of the measured object's surface can be observed visually. The collection of infrared images from our
laboratory has following characteristics: Strong spatial correlation, Low contrast , Poor visual effect; Without color
or shadows because of gray image , and has low resolution; Low definition compare to the visible light image;
Many kinds of noise are brought by the random disturbances of the external environment. Digital image processing
are widely applied in many areas, it can now be studied up close and in detail in many research field. It has become
one kind of important means of the human visual continuation. Traditional methods for image enhancement cannot
capture the geometric information of images and tend to amplify noise. In order to remove noise and improve
visual effect. Meanwhile, To overcome the above enhancement issues. The mathematical model of FPA unit was
constructed based on matrix transformation theory. According to characteristics of FPA, Image enhancement
algorithm which combined with mathematical morphology and edge detection are established. First of all, Image
profile is obtained by using the edge detection combine with mathematical morphological operators. And then,
through filling the template profile by original image to get the ideal background image, The image noise can be
removed on the base of the above method. The experiments show that utilizing the proposed algorithm can enhance
image detail and the signal to noise ratio.
The FPA Infrared imaging technology is widely used in military and civilian fields, and the optical readout FPA Infrared
imaging technology is one of the most important branch. How to get a higher sensitivity IR image is very important since
there are many factories that can degrade image quality. In this paper we introduce a method to improve system image
quality, which is called the holographic compensate illumination based on the holographic technology. Firstly, we
analyze the key influencing factors of the image quality of an optical readout FPA IR imaging system, and the two kinds
of manufacturing errors of the FPA are given. Then we point out the principle of the method to compensate the FPA
fabrication errors and design the experimental scheme. The result of the experiment shows that we can get a more
uniform and higher sensitivity IR image by the method of holographic compensate illumination.
Comparison goniometer, precision autocollimator, can be used to measure parallelism or angular error. If the size of the
work piece to be measured is larger than the aperture of the objective lens, the measurement can not be carried through,
because a part of work piece can't be observed. A new technique, called overlapping measurement technique, is
proposed. The work piece will be moved, and two adjacent measurements must have an intercross. The relationship
between the readings of the autocollimator and the angular error has been deduced. A program written in VC++6.0 will
be used to process the measurement data.
The progress of MEMS-based uncooled infrared focal plane arrays (IRFPAs) are one of the most successful
examples of integrated MEMS devices. We report on the fabrication and performance of a MEMS IRFPA based on
bimaterial microcantilever. The IR images of objects obtained by these FPAs are readout by an optical method.
However, it is difficult to avoid unwanted shape distortions in fabrication, which can degrade image quality in
many ways. In this paper, the actual manufacturing errors of FPA are widely and deeply analyzed. There are
basically two kinds of manufacturing error. The limitations of both kind of error are given. It is alse pointed out
that the detecting sensitivity has its special complexity if the shape of the FPA is not ideal flat. To overcome the
difficulties in readout process caused by manufacturing errors, a novel holographic compensating illumination
technology was given. The possibilities of actualizing this technology are analyzed in many aspects. And a model
of computer generated holographic compensation is given as a further development to be actualized in future The
experiment shows that it is a feasible way to improve system performance, especially when it is too difficult to
perfect the techniques of an FPA fabrication.
After introducing the uncooled infrared imaging based on a novel
bi-material cantilever, this article emphasize on an
optical system of an IR imaging prototype. At first, we select the structure form of optical system. Our optical system
prototype consists of an imaging optical component and an optical readout component. The optical readout component
comes from 4f' optical system and has been made some improvement to reduce its size, weight and power consumption.
Then we measure and analyze the parameters of the FPA and CCD, in order to determine the geometrical sizes and the
aberration requirement for every lens. At last we report on the implement of the prototype. The imaging result is showed
in this paper. Experimental results indicate that the NETD of this system is less than 200mK.
We experimentally implement the periodic and quasi-periodic bifurcations routes to chaos based on the semiconductor
laser with optical feedback. The effects of the interaction between the relaxation oscillation frequency and external
harmonic frequency on the quasi-periodic and period-doubling bifurcations routes to chaos are experimentally analyzed.
The results show that the output of the laser evolve into chaos along the period-doubling bifurcations route with the
optical feedback strength increasing when the relaxation oscillation frequency is integer multiple of the external
harmonic frequency, otherwise, the output of the laser evolve into chaos along the quasi-periodic bifurcations route with
the optical feedback strength increasing when the relaxation oscillation frequency is not an exact multiple of the external
harmonic frequency. At the same time, the routes of the quasi-periodic and period-doubling bifurcations to chaos are
proved theoretically by using the rate equations of the semiconductor laser subject to optical feedback. The results of
numerical simulations are consistent very well with our experimental results.
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