36results about How to "Reduce blurriness" patented technology

An image-taking apparatus includes a LED emission section that irradiates a subject with light by causing a LED to emit the light and a xenon-tube emission section that irradiates a subject with light by causing a xenon tube to emit the light. The light from the xenon-tube emission section has higher intensity than the light from the LED emission section. The image-taking apparatus also includes a shake detection section that predicts a shake that will occur at shooting by detecting a shake before shooting. The image-taking apparatus also includes an emission control section that causes the xenon-tube emission section to irradiate a subject with light when the detected shake is above a predetermined level, and causes the LED emission section to irradiate a subject with light when the detected shake is equal to or below the predetermined level.

The invention provides a knowledge graph representation learning method fusing entity description and types. The method comprises the following steps of S1, obtaining embedding of a triple entity by utilizing a translation model, and taking a relationship in a triple as a translation operation between a head entity and a tail entity to obtain numerical vector representation of each triple entity and the relationship; s2, adopting a Doc2Vec model to embed the text information described by the entity; s3, combining entity embedding obtained through a Transform model with the entity hierarchicaltype mapping matrix to obtain embedding of a triple entity type; and S4, connecting all the representation vectors to obtain a final triad entity vector, optimizing the training model by adopting a random gradient descent method, and carrying out effect evaluation. According to the method provided by the invention, through entity description and entity type embedding, semantic information expressed by knowledge graph triad entities is improved.

An embodiment of the invention discloses an image acquisition control method and an image acquisition control device. The image acquisition control method includes acquiring movement information of to-be-photographed objects; determining relative movement distances of images on images sensors within first exposure durations according to the movement information; determining imaging regions in the image sensors; adjusting image acquisition control parameters of the imaging regions to shortened exposure durations of the imaging regions; acquiring the images of the to-be-photographed objects by the aid of the adjusted image sensors. The images correspond to the to-be-photographed objects. The imaging regions correspond to the relative movement distances. The image acquisition control method and the image acquisition control device in the embodiment of the invention have the advantages that degrees of image blurring of the imaging regions due to movement of the to-be-photographed objects can be reduced to the greatest extend on the basis that the quality of images acquired in other regions of the image sensors is unaffected, and accordingly the integral quality of the images acquired by the image sensors can be improved.

A camera includes: a photographic lens; an image sensor that captures a subject image; a motion detection unit that detects motion of the camera and outputs a detection signal corresponding to an extent of the motion; a position measurement unit that measures a position assumed by the camera by receiving a radio wave originating from an external source; a blur reducing unit that reduces an extent of blurring in a photographic image attributable to motion of the camera in correspondence to the output value indicated in the detection signal output from the motion detection unit; and a position measurement engagement control unit that disallows engagement of the position measurement unit in operation based upon the output value indicated in the detection signal output from the motion detection unit.

The invention discloses a high-quality face generation method based on a multi-scale residual network, and the method comprises the following steps: a data set design step: integrating a current mainstream face data set, and generating a data pair of a low-quality face and a high-quality face through software; A model design and training step: designing a multi-scale residual network, and performing model training by using data pairs to obtain a network model weight; And a model prediction step: carrying out model processing on the face image obtained in reality to obtain a prediction result.According to the invention, a deep learning network technology is applied to a generation task of a high-quality face to generate a color face image with high resolution, low fuzzy degree and low noise; And by using a deep learning network method, the time and cost of manual drawing can be reduced, and a solid foundation is laid for subsequent face feature extraction and recognition.

The invention relates to the technical field of projection display, and provides a focal length adjusting method and a focal length adjusting device. The method includes that a projection device projects a to-be-projected image according to each focal length in a preset group of focal lengths to acquire a projected image corresponding to each focal length, the area of a region of a third color in the projected image corresponding to each focal length is determined, the third color refers to any color different from three primary colors, the to-be-projected image at least comprises at least two regions, the image color of each region refers to any of the three primary colors, and the image colors of at least two regions are different; the projection device determines a focal length as a projection focal length from the preset group of focal lengths according to the area of the region of the third color in the projected image corresponding to each focal length and projects the image according to the projection focal length.

An interactive projector includes a projection section adapted to project a projected screen on a screen surface, an imaging section adapted to take an image of an area of the projected screen, and a pointing element detection section adapted to perform a detection process for detecting the pointing element based on the taken image, which is taken by the imaging section, and includes the pointing element, and the pointing element detection section sections the taken image into a plurality of small areas, and performs the detection process in at least one of the small areas using a parameter different from parameters in the rest of the small areas.

The invention discloses blood pressure lowering health care green tea and its preparation method. The method comprises: mixing 15-30 parts by weight of white tea, 20-25 parts by weight of zinc-selenium tea, 20-25 parts by weight of green tea, 20-30 parts by weight of baked green tea or Maofeng tea, 5 parts by weight of folium llicis latifoliae, and 5 parts by weight of chrysanthemums, wherein, the free amino acid content of the white tea is over 7%, the zinc-selenium tea has Zn content of 80-120mg/kg and Se content of 0.25-0.35mg/kg, the green tea has free amino acid content of more than 5%, and the baked green tea or Maofeng tea has tea polyphenol content of over 30%; then mixing the well mixed tea with crushed kenaf accounting for 20-30 wt% of the mixed tea uniformly, and storing the mixture for 30-60d, then conducting screening to filter out kenaf, and carrying out fragrance increasing at a temperature of 150DEG C for 10-12min, and performing depilation at a temperature of 110DEG Cfor 12-15min, thus obtaining the product. With high content of water extract, tea polyphenol and amino acid as well as low caffeine, the health care green tea of the invention plays an active role inprotecting a normal ultrastructure of the cardiac muscle.

The invention discloses a bridge navigation aid indicator lamp. The bridge navigation aid indicator lamp structurally comprises a lamp holder, a switch, a lamplight plate, an impact ring and a base, wherein the top end of the lamp holder is provided with the switch and is connected with the switch, the lamplight plate is located on the side edge of the lamp holder and adjacent to the impact ring,and the lamplight plate and the impact ring are connected to the exterior of the lamp holder in an annular mode, and the base is arranged below the lamp holder. The bridge navigation aid indicator lamp has the beneficial effects that the bridge navigation aid indicator lamp is arranged at the position of a bearing platform on the water surface by using the impact ring, so that the bridge navigation aid indicator lamp is half-exposed out of the water surface, and meanwhile vibration waves generated when the structure makes contact with water flow serve as an energy supplementing mode generatedby the combined action of the lamplight plate and the water flow, and the water flow and water waves impact a beating bag structure so that the fuzzy degree of the water waves covering the lamplight plate can be effectively reduced, and the marked identification degree of the bearing platform on the water surface is enhanced.

The invention provides an automatic focusing method and system, a storage medium and equipment, and the method comprises the steps: in response to the starting of automatic focusing of a focusing lens, controlling a focusing motor to start rotation, and sequentially collecting a focusing evaluation value and a corresponding focusing position value of each frame of image; judging whether n-1 is an integral multiple of a preset frame interval M based on the nth frame of the current image; if yes, searching the maximum focusing evaluation value for in the focusing evaluation values of the current image and the previous image, using the focusing position value corresponding to the searched maximum focusing evaluation value as the maximum focusing position value, and judging whether the focusing evaluation value of the current image is larger than the focusing evaluation value of the (n-M) th frame image; if not, judging whether the difference value exceeds a preset threshold value; if yes, judging whether a continuous rising mark exists; if yes, controlling the focusing motor to stop rotating and rotate reversely, and making the focusing lens to move to the focusing position corresponding to the maximum focusing position value. According to the method, the reliability and efficiency of automatic focusing are improved.

The invention relates to the technical field of deep residual networks, and discloses a regional water resource classification evaluation method based on an improved deep residual network, which comprises four steps of image enhancement, image fusion, image marking and image segmentation. According to the regional water resource classification evaluation method based on the improved deep residual network, image enhancement is used for improving image information and quality, so that the features of the image are more obvious under human eye observation, the regional water resource identification effect is enhanced, visual analysis ignores the digital interference degree, and the method plays an important role in various aspects of remote sensing images; according to image fusion, a multi-spectral image with low spatial resolution and a single-band image with high spatial resolution are replayed and sampled to generate a new multi-spectral image with high resolution, so that the generated image has high spatial resolution and multi-spectral characteristics, a composite mode is mainly adopted, information provided by remote sensing image data sources of different sensors is integrated, and multi-spectral image fusion is realized. And high-quality image information is obtained.