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124results about How to "Improve photo quality" patented technology

Method for automatically adjusting camera and mobile terminal

InactiveCN106060398ASolve the problem of not being able to obtain a satisfactory shooting angleReduce movementTelevision system detailsColor television detailsComputer graphics (images)Computer vision
The embodiment of the invention provides a method for automatically adjusting a camera and a mobile terminal, and relates to the technical field of the camera. The method comprises the steps of controlling the camera to focus a collected face in a process of carrying out image collection on a photographing scene by the camera; calculating a photographing angle of the camera based on the focusing data of the camera; determining a target photographing angle; and controlling the camera to rotate until the photographing angle of the camera is adjusted to the target photographing angle. When a user carries out photographing, especially when the user carries out selfie, the optimum photographing angle can be obtained according to the current photographing scene; the camera is automatically adjusted to the optimum angle; and the operation efficiency and photographing quality of the user are improved. The problem that when the user a user carries out the photographing or selfie, and it is inconvenient to carry out the photographing by employing an external selfie device, the satisfactory photographing angle cannot be obtained due to the limitation of the length of human arms and the limitation of the rotation angles of wrists is solved.
Owner:VIVO MOBILE COMM CO LTD

Photographing method and mobile terminal

The embodiment of the invention provides a photographing method and a mobile terminal. The method comprises the following steps: obtaining image information when the mobile terminal performs photographing preview, wherein the image information comprises first scene information; determining first profile information in the image information; obtaining second profile information in a preset information library according to the first scene information; calculating the similarity between the first profile information and the second profile information after every preset time; and if the similarityis not smaller than a preset threshold, storing the image information. By adoption of the photographing method in the embodiment of the invention, the current scene in the photographing process can be automatically identified, a preferred photographing posture of the current scene is recommended, when the photographing posture of the user satisfies a preset condition, the image is automatically stored, so that the preferred photographing posture of the user can be provided in the photographing process, and the photographing can be accomplished with the photographing posture of the user satisfies the preset condition, so that the photographing quality is improved, and the user experience is enhanced.
Owner:VIVO MOBILE COMM CO LTD

Camera module and electronic equipment

PendingCN111698352AImprove image qualityImprove the effect of optical image stabilizationTelevision system detailsColor television detailsImaging qualityOptical axis
The invention relates to a camera module and electronic equipment, and the camera module comprises a substrate which is provided with an installation surface; a bracket which comprises a first surfaceand a second surface which are arranged back to back, wherein a through hole extending from the first surface to the second surface, and the mounting surface is connected with the first surface of the bracket; a voice coil motor which is arranged on the second surface of the bracket; a lens which is installed on the voice coil motor and is opposite to the through hole, wherein the voice coil motor can drive the lens to move so as to compensate image blurring caused by jitter; a photosensitive assembly which is arranged in the through hole and is opposite to the lens; and an anti-shake assembly which is arranged on the substrate and can drive the photosensitive assembly to rotate on a plane vertical to the optical axis of the lens so as to compensate image blurring caused by shake. According to the camera module, the lens can be adjusted through the voice coil motor, and the photosensitive assembly can be adjusted through the anti-shake assembly, so the shake of the lens in the Roll direction is compensated, and the imaging quality of the camera module can be greatly improved through the dual optical anti-shake mode.
Owner:NANCHANG O FILM OPTICAL ELECTRONICS TECH CO LTD

Digital shooting processing method with intelligent software light source added

The invention discloses a digital shooting processing method with an intelligent software light source added. The method comprises the following steps: obtaining a video stream frame image, embedding the software light source by a user in a specified position of a visual area, automatically obtaining an image area color value by the system, exacting a (r, g, b) component, calculating a rendering range according to a light source parameter, and superposing brightness. By adoption of the digital shooting processing method disclosed by the invention, one or more software light sources (the number is not limited on the theory) are added to any area of the video, light direction F, light brightness B, light range R, light color C and other parameters can be set, and the brightness of the specified area is rendered intelligently and accurately according to the light parameter so as to improve the digital shooting imaging quality; and when the external physical light source cannot satisfy the digital shooting condition, multiple kinds of light sources be added through the software to adjust the light direction, the range, the brightness and other parameters so as to perform intelligent rendering on the specified area of the video, thereby improving the photo imaging quality.
Owner:SOUTHWEST UNIV

Road surface crack detection method based on MobileNet-PSPNet neural network model

The invention provides a campus road crack detection method based on a Mobilenet-PSPNet neural network model, and the method comprises the following steps: S1, collecting a crack image data set, manually calibrating a label, and converting the label into a corresponding mask bitmap; S2, designing a MobileNet-PSPNet neural network, and training the MobileNet-PSPNet neural network by using the image processed in the step S1; S3, collecting campus road surface images and transmitting the campus road surface images to the terminal in real time; S4, extracting global features of the data set image acquired in the step S3 by using MobileNet; S5, extracting local features of the global feature map obtained in the step S4 through a pyramid adaptive average pooling module in the MobileNet-PSPNet network; S6, performing up-sampling operation on the local features obtained in the step S5, and then performing feature fusion on the local features and the global features to obtain new features including the global features and the local features; and S7, obtaining a final prediction result through convolution and up-sampling operation. According to the method, the crack of the campus road is detected in real time through the improved Mobilenet-PSPNet based on the PSPNet convolutional neural network, the method is accurate and efficient, and wrong detection and missing detection are not easy to generate.
Owner:ANHUI UNIVERSITY OF ARCHITECTURE
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