9 results about "Optical image" patented technology

The invention relates to a device for detecting methane or carbon dioxide through optical interference, which comprises an optical path system using the same optical source to generate two groups of optical interference stripes, an image sensor converting the physical position information of the two groups of stripes into electric signals, and an electric signal collecting and processing part used for identifying the physical positions of the two groups of stripes and finally determining the methane content in the air. The invention also comprises a method for detecting the concentration of methane and carbon dioxide with the advantage of automatic zero tracking and precision automatic compensation capacity. The device and the method have the characteristic of adopting two groups of stripes in the same optical path to realize the differencing of the optical images; then the whole system processes data in a differencing mode, which greatly improves the anti-interference capacity of equipments. The device and the method are based on the automatic compensation principle of instrument precision, solve the difficulties of severe precision unbalancing and severe zero point excursion of the traditional optical interference methane detecting instrument caused by the aberration of the optical system, can intelligently identify when the precision of the instrument is severely unbalanced, and can effectively calibrate.

An image sensor has an imaging surface irradiated with an optical image of an object scene, and repeatedly generates an object scene image. A CPU repeatedly determines whether or not a specific variation exceeding a reference is generated in the object scene captured by the image sensor, in parallel with a generating process of the object scene image by the image sensor. When a determination result is updated from a negative result to an affirmative result, the CPU waits for an elapse of a designated period, then, determines presence or absence of a generation of a flicker, and executes a flicker countermeasure process, as needed.

The invention relates to a self-adaptive optical image high resolution restoration method combined with frame selection and blind deconvolution, comprising the following steps: firstly, a short exposure image sequence gn (x, y) is recorded when a self-adaptive optical closed loop is corrected; shannnon entropy of each frame of image in the sequence is calculated; a degraded image gm (x, y) with lower entropy is selected for blind deconvolution image restoration; secondly, an initial value hm (x, y) of a point spread function is generated by utilization of random phase; thirdly, a target f(x, y) is estimated by using the gm(x, y) and the obtained hm (x, y), and an estimated value f(x, y) is obtained after addition of positivity limitation on the target; fourthly, an estimated value hm (x, y) of the point spread function is obtained by using the gm (x, y) and the f(x, y), and an estimated value h(x, y) is obtained after addition of positivity limitation in the same way; fifthly, inspection is made whether an iterated value h(x, y) and an iterated value f(x, y) meet iteration stopping requirements or not; if the iterated values do not meet the iteration stopping requirements, the third step is returned; if the iterated values meet the iteration stopping requirements, circulation is stopped and the f(x, y) and the h(x, y) are outputted. The invention has the advantages of effective improvement of restoration quality, acceleration of convergence rate, capability of well compensating correction capability under hardware limitation of a self-adaptive optical system, and improvement of imaging quality.

An imaging apparatus includes: a zoom lens system including a plurality of groups and performing variable magnification by changing intervals of the lens groups; a color-separation optical system configured to carry out color separation of a light flux from the zoom lens system; and a plurality of imaging devices configured to convert optical images separated by colors by the color-separation optical system into electric signals. The zoom lens system includes at least one reflection member configured to bend an optical axis by 90 degrees or approximately 90 degrees. The color-separation optical system is arranged such that color-separation is performed in a direction within a plane perpendicular to another plane formed by an optical axis for light incident to the zoom lens system and an optical axis for light reflected by the reflection member.

The embodiment of the invention discloses a method and device for enhancing a night vision image in a self-adaption mode. The method comprises the steps that the initial value of a brightness field of a low-light image is obtained; a transmissivity repair function is obtained according to the initial value; enhancement processing is carried out on the low-light image according to the transmissivity repair function and an atmospheric light scattering physical model, the curve confirming to the visual characteristic of the human eyes is utilized, the pixels of RGB channels of a color image are all processed, a self-adaption increment coefficient is added, the brightness can be effectively improved, and therefore the method and device can adapt to various occasions and color images or grey level images or optical images or other images, and universality is achieved.

An optical imaging device capable of positioning projection comprises a housing. A first positioning light-emitting component and a second positioning light-emitting component are arranged at a side wall of the housing, and respectively generate a first positioning light and a second positioning light. For a driver, the first positioning light and the second positioning light have a same angle ofreflection at only one display area to enable the optical imaging device to position the field of view of the driver and display an optical image corresponding to the field of view of the driver.

The invention discloses an optical image reconstruction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining an original optical image collected byan optical camera, and carrying out the function modeling of the original image; according to the established function model, obtaining a recovery function used for reconstructing the image, and carrying out function optimization; and carrying out iterative solution on the recovery function, and carrying out optical image reconstruction to obtain a super-resolution optical image. According to themethod, the original optical image is modeled, the recovery function is obtained, and the original optical image is reconstructed according to the recovery function, so that the low-resolution optical image is constructed into the super-resolution optical image, and the definition of fine features in the image is improved.