7264results about How to "Improve visual effects" patented technology

A method for providing a menu and a multimedia device using the method are provided. The method for providing a menu includes converting a menu set including at least one icon displayed on a touch screen into a manipulation set including at least one manipulation icon used to input a command relating to the use of content. Therefore, the method provides for a more easily manipulated menu, which is displayed with superior visual effect on a screen that is relatively small in size by using the menu set capable of conversion into the manipulation set.

The invention discloses a real-time panoramic image stitching method of aerial videos shot by an unmanned plane. The method comprises the steps of: utilizing a video acquisition card to acquire images which are transmitted to a base station in real time by an unmanned plane through microwave channels, carrying out key frame selection on an image sequence, and carrying out image enhancement on key frames; in the image splicing process, firstly carrying out characteristic detection and interframe matching on image frames by adopting an SURF (speeded up robust features) detection method with good robustness; then reducing the series-multiplication accumulative errors of images in a frame-to-mosaic image transformation mode, determining images which are not adjacent in time sequence but adjacent in space on a flight path according to the GPS (global positioning system) position information of the unmanned plane, optimizing the frame-to-mosaic transformation relation, determining image overlapping areas, thereby realizing image fusion and the panoramic image construction and realizing real-time effect of carrying out flying and stitching simultaneously; and in image transformation, based on adjacent frame information in a vision field and adjacent frame information in airspace, optimizing image transformation to obtain the accurate panoramic images. The stitching method has good real-time performance, is fast and accurate and meets the requirements of application occasions in multiple fields.

A transparent conductive film (1) having a transparent plastic film (11) and a transparent conductive thin film (12) formed on at least one side thereof, characterized in that a resin layer (P) containing an ionic group in the range of 20 to 1000 eq / ton is provided between the transparent plastic film and the transparent conductive thin film and the ionic group containing resin has a cross-linked structure. The transparent conductive film has excellent adhesion to other conductive thin films and therefore exhibits excellent durability to input with a pen when used in touch panels.

A method for providing a graphical user interface (GUI) and an electronic device using the method are provided. The method includes forming one or more groups of GUI items other than a GUI item selected by a user, moving the GUI items in the one or more groups, and enlarging and displaying the selected item on an area formed by movement of the GUI items. Therefore, it is possible to provide a GUI which enables easy manipulation and which is displayed with superior visual effect on a screen that is relatively small in size.

A fibrous product (10, 20, 20b, 30), especially tissue paper product, non-woven products or a hybrid thereof, and preferably hygiene and cleaning product has at least one first ply (42; 62; 84; 104) with at least one embossing pattern including embossed depressions starting from a base plane of the ply; the embossed pattern being characterized by the following features: the embossing pattern has a minimum motive surface area of at least 3 cm×3 cm; the pattern includes a high number of embossed depressions which are sized and / or positioned such as to form a motive element covering the motive surface area; wherein at least some of the embossed depressions are sized and / or positioned such that minimum distances between pairs of consecutively arranged embossed depression vary. A method for producing such a fibrous product is also described.

A three-layer asphalt composition shingle where the top layer is of a full width, a middle layer is less than the full width, and a bottom layer has a width shorter than the middle layer. The middle and top layers of the shingle have tabs and cutouts. The tabs of each such layer generally differ in some feature. Moreover, the corresponding tabs between the middle layer and top layer also differ with respect to some feature, such as a lengthwise size, a widthwise size, shape or in color. Each of the three layers includes color zones, and often plural color zones. The different tab features and the different color features of the various layers provide a high degree of randomness to enhance a visual appearance to a roof shingled with such type of shingles.

The invention discloses a passive auto-focusing method and a device so as to solve the problem of slow focusing speed. The method provided by the invention comprises the following steps: original image data is acquired; sharpness is calculated to obtain sharpness value of the original image data; current valid focusing range is determined according to current zoom value, the position of a lens is adjusted by a large-step rough-focusing strategy if the current position of the lens is not within the current valid focusing range, and the position of the lens is adjusted by a small-step fine-focusing strategy when the current position of the lens is within the current valid focusing range; and if the current position of the lens is within the current valid focusing range, the position of the lens is adjusted by a small-step fine-focusing strategy. The large-step rough-focusing strategy is as follows: a first-step shift lens is adopted until the current position of the lens is within the current valid focusing range. The small-step fine-focusing strategy is as follows: a step shift lens with step being less than the first step is used until the calculated sharpness value is the best sharpness value.

A method and apparatus are disclosed for controlling optical aberrations to alter relative curvature of field by providing optical devices and methods comprising the repositioning of peripheral off-axis focal points relative to the retina to produce stimulus for influencing the progression of refractive error while simultaneously controlling the position of the central focal point near to the retina to provide clear central vision and simultaneously providing zones of controlled peripheral defocus and other optical aberrations to improve peripheral vision for select directions of gaze.

The invention provides a compressed sensing theory-based reconstruction method of a magnetic resonance random sampled K space data image. The reconstruction method applies a contourlet conversion and iterative soft thresholding method to realize reconstruction of a magnetic resonance image. The method comprises the following steps: collecting K space data in a magnetic resonance image scanner according to a preset observation matrix phi to generate a measurement value, and keeping y; acquiring y from a coil of the magnetic resonance image scanner, and transmitting y to a computer; and finallyconstructing a same phi, constructing any orthogonal transformation psi, and recovering from y by adopting a compressed sensing theory-based magnetic resonance random sampled K space data image reconstruction method according to reconstruction. According to the method, scanning time is saved, quick imaging is realized, high-quality reliable image information is provided to medical nuclear magnetic resonance imaging detection, and solid theoretical and practical foundation is established for further development and large-scale popularization and application of the medical imaging detection technology.

The invention discloses an ReLU convolutional neutral network-based image denoising method. The method comprises the following steps of building an ReLU convolutional neutral network model, wherein the ReLU convolutional neutral network model comprises a plurality of convolutional layers and active layers after the convolutional layers, wherein the active layers are ReLU functions; selecting a training set, and setting training parameters of the ReLU convolutional neutral network model; training the ReLU convolutional neutral network model by taking a minimized loss function as a target according to the ReLU convolutional neutral network model and the training parameters of the ReLU convolutional neutral network model to form an image denoising neural network model; and inputting a to-be-processed image to the image denoising neural network model, and outputting a denoised image. According to the ReLU convolutional neutral network-based image denoising method disclosed by the invention, the learning ability of the neural network is greatly enhanced, accurate mapping from noisy images to clean images is established, and real-time denoising can be realized.

The invention discloses a background blurring method based on a depth of field, used for processing scene data collected by an electronic device, wherein the scene data comprises a scene main image. The background blurring method comprises the steps of processing the scene data to acquire image depth information of the scene main image; acquiring the most front point of the scene main image according to the image depth information; determining an area except the area adjoined with the most front point and with continuously variable depth to be a background part; acquiring background depth information of the background part; dividing the background part into at least one blurring area according to the background depth information, wherein the span of a depth range corresponding to each blurring area is positively correlated with the distance between the depth range and the most front point of the scene main image; determining a blurring degree of each blurring area, wherein the blurring degree of each blurring area is positively correlated with the corresponding depth; and blurring the background part. The invention also discloses a background blurring device based on the depth of field and the electronic device. According to the method and the devices provided by the invention, the blurring effect of the image can be more natural and closer to an optical out-of-focus effect.

A vision metric, called the sharpness metric, indicates the subjective sharpness of a patient's vision by taking into account both the wavefront aberration and the retinal response to the image. A retinal image quality function such as the point spread function is convolved by a neural quality function, and the maximum of the convolution over the retinal plane provides the sharpness metric. The sharpness metric can be used to control eye surgery or the fabrication of a lens.

A method for enhancing vision of an eye includes a laser delivery system having a laser beam for ablating corneal material from the cornea of the eye. Measurements are made to determine an optical path difference between a plane wave and a wavefront emanating from the retina of the eye for a location at a surface of the cornea. An optical correction is provided to the laser delivery system for the location based on the optical path difference and refractive indices of media through which the wavefront passes. The optical correction includes dividing the optical path difference by a difference between an index of refraction of corneal material and an index of refraction of air. The laser beam is directed to the location on the surface of the cornea and corneal material ablated at the location in response to the optical correction to cause the wavefront to approximate the shape of the plane wave at that location.

A universal TV support and mounting kit that accommodates the principal varieties of TVs that have to be mounted or supported, namely CRT type and two panel types (plasma and LCD), in a single kit. The kit that allows the consumer to employ any of the three modes of support, namely stand mount, console mount and wall mount. The console mount incorporates a vertical spine and a gooseneck mount. A frame is provided that can be attached to the gooseneck mount or to a wall. Pivoting and tilting is accommodated by the gooseneck mount.

The invention relates to a mobile terminal and an anti-spy method thereof. The method comprises the following steps of: detecting current content displayed by a screen of the mobile terminal; and when the content or an application with privacy properties is detected, displaying a mask in a preset zone of the current screen of the mobile terminal so as to protect the current content displayed by the screen of the mobile terminal. Through the application of the technical scheme of the invention, the screen content of the mobile terminal can be protected, the cost is low, few system resources are occupied, the vision of a user cannot be limited, and great experience is brought to the user.

A multifunctional video apparatus and a method of providing a user interface (UI) of the multifunctional video apparatus. The multifunctional video apparatus includes a CCD module to capture an image of an object and generating a corresponding video signal, a tuner module to receive a broadcasting signal provided through a selected channel, a decoding module to decode the broadcasting signal received through the tuner module, a display unit to display a video corresponding to a reproduced signal, and a signal processing block to process the video signal generated from the CCD module, to record the processed video signal in a memory, to reproduce an output signal of the decoding module, and to apply the reproduced signal to the display unit. Accordingly, diverse functions, such as DMB reception, photographing and / or reproduction, moving image filming and / or reproduction, music playback, voice recording and / or reproduction, etc., can be provided through one apparatus, and the user's manipulation is facilitated in using the multifunctional video apparatus providing many functions.

The embodiment of the invention discloses a model training method and device and a storage medium. The method includes: obtaining a multi-label image training set; selecting a target training image currently used for model training from the multi-label image training set; carrying out label prediction on the target training image by adopting a deep neural network model to obtain a plurality of prediction labels of the target training image; obtaining a cross entropy loss function corresponding to the sample label, the positive label loss in the cross entropy loss function being provided with aweight, and the weight being greater than 1; and converging the prediction label and the sample label of the target training image according to the cross entropy loss function to obtain a trained deep neural network model. According to the scheme, the model accuracy and visual expressive force can be improved.

An improved structure for LED lighting comprising an AC to DC converter, said converter comprising four rectifying diodes, and at least one LED serial set. The rectifying diodes can be divided into a first and second group, each group comprising two diodes. The negative ends of the two rectifying diodes of the first group can be connected in parallel and their positive ends can be connected with a positive and negative end of the front and rear plugs respectively. The positive ends of the two rectifying diodes of the second group can be connected together in parallel and their negative ends can be connected with the positive and negative ends of the front and rear plugs respectively. The LED serial set can be connected between the negative end of the rectifying diodes of the first group and the positive end of the rectifying diodes of the second group.

The invention relates to a video auto-focusing system based on an embedded media processor. The system comprises a video collection module, an image acquisition and processing module, a focusing search module and a focusing execution module, wherein the acquisition and processing module is used to perform noise processing to the obtained original video image data and extract Y-component in the data, wherein the induction area selection algorithm based on region segmentation is adopted to extract focus area, the Tenengrad function based on Sobel gradient operator is adopted to calculate definition; the focusing search module is used to determine the moving direction of the camera lens and calculate the required step length (mov_step = step*level) of the lens; the position corresponding to the maximum definition value is used as focus position; and the focusing execution module is used to transmit control signals to a stepping motor used for driving the lens so as to adjust the position of the lens, according to the determined moving direction and step length of the lens in the focusing search module. By using the video auto-focusing system, the focusing accuracy and stability can be effectively increased, and the smoothness is improved.

The embodiment of the invention discloses a method for zooming screen fonts and a terminal device, relating to the application field of engineering. The size of the font can be adjusted according to the distance from the user to the screen. The method comprises: gaining the distance from the user to the screen, adjusting the size of the font according to the distance, and displaying the adjusted font on the screen. The terminal device comprises a distance gaining unit, a font size adjusting unit and a displaying unit; by allowing for the changeable distance from the user to the screen, the terminal device also comprises a distance changing pre-arranging unit, a distance changing calculation unit and a distance changing judge unit; the terminal device can be a mobile phone, a computer, a music player or a digital media machine, etc. The method for zooming screen fonts and the terminal device can improve the satisfaction of the user on the screen font display.