159results about How to "Good subjective effect" patented technology

The invention relates to a video coding method based on a region of interest (ROI). A video coder receives the original video data of a macroblock; an ROI preprocessing module divides the macroblocks in a frame image into ROI macroblocks and non-ROI macroblocks according to the ROI predefined by a user; if the user does not define the ROI, the macroblocks in the frame are categorized by adopting an image content analyzing method; the ROI preprocessing module calculates a Lagrangian multiplier; a quantification parameter adjusting module adjusts the sensitive degree of the current macroblock and the macroblock set initial quantification parameters according to the human vision; the video coder codes the current macroblocks according to the adjusted quantification parameters; and a multiple macroblock set bit allocation module distributes the target bits for each macroblock according to the macroblock set coding statistic information after the macroblocks in the frame are completely coded, and finally calculates the initial quantification parameter of each macroblock set.

Under condition of not increasing network load, using accurate effective feedback information provided by client end, the method analyzes and judges state of current network. Based on the analyzed result, the method adjusts size of RTP packet, and sending speed of video basic stream so as to realize dispatch control by server end. The method reduces time delay from server end to client end and rate of packet loss without increasing network burden. Transferred video provides good subjective effect.

The invention provides a high quality side information production method. The method comprises the steps of determining forward motion estimation or backward motion estimation by correlations between a WZ (Wyner-Ziv) frame and adjacent reference key frames, wherein the adjacent reference key frames comprise a forward reference key frame and a backward reference key frame; for the current block of the WZ frame, taking corresponding points of four motion vectors with time and space correlations as search start point candidate points; calculating SAD values of the current block and corresponding blocks determined by the motion vectors of the search start point candidate points, and selecting the corresponding block with the minimum SAD value as the search start point; determining the size of a search window in a horizontal direction and an upright direction after the search start point is obtained; carrying out matching search on macro blocks after the search start point and the search window are determined, thereby obtaining motion vectors MV; carrying out block matching by using blocks with changeable sizes, thereby obtaining the more accurate and finer motion vectors MV; correcting the motion vectors MV obtained through unidirectional estimation based on a bidirectional motion estimation method; and carrying out bidirectional motion compensation on weighted overlapping blocks.

The invention is suitable for the field of mobile terminals and provides a mobile terminal and a method and system for carrying out rapid and convenient operation on contacts. The method comprises the following steps of: displaying a contact icon on a standby interface; receiving a command for operating the contact icon on the standby interface; and popping up a contact operation menu for a user to carry out rapid and convenient operation on the contacts according to the command of operating the contact icon. In the method, an operation process that the user enters an application interface is omitted and the interactive experience and the subjective satisfaction degree of the user are improved.

The invention relates to a super-resolution image reconstruction method based on analysis sparse representation, belonging to the technical field of image processing. The method comprises the following steps of: performing dictionary training according to a training sample set; and training a high-resolution dictionary and a low-resolution dictionary for an extracted feature; converting an image to be input from an RGB (Red, Green and Blue) space into a 1 alpha beta space and dividing into blocks of a same size; performing two kinds of operation on the blocks, wherein one is that each block is amplified by using the conventional amplification method and the other one is that an residual image of each block is extracted, sparse representation of the residual image in the low-resolution dictionary is calculated, and then the residual image is reconstructed in the high-resolution dictionary to obtain a reconstructed residual image; summarizing results of the two steps, converting back into the RGB space and performing back projection to obtain the reconstructed super-resolution image. According to the method, the image reconstruction noise can be obviously reduced, and detail features are kept; and meanwhile, the method has the advantages of easiness in operation and wide application.

The invention discloses a circuit breaker assembly quality problem tracing system and method based on large data analysis. The problem that an ancillary system cannot meet the requirement of massive data analysis in a circuit breaker assembly production process is solved. The new idea of quality circuit breaker assembly quality problem tracing is provided from the aspect of data mining. The method comprises the steps that Spark is used to build a large data analysis platform; data preprocessing is carried out in combination with business; K-Means is used to build an assembly quality problem classification model based on distance; an Apriori association rule algorithm is used to build an influential factor analysis model; and assembly quality problem tracing is realized. The assembly quality problem classification model completes the deficiencies of mechanism classification or experience classification from the aspect of data characteristics. According to the invention, the system and method are capable of storing and analyzing massive data, have the advantages of high-performance redundancy, real-time and efficient data analysis and storage, are used for circuit breaker assembly quality problem tracing, and provide suggestions and references for circuit breaker assembly quality production.

The invention discloses a depth representing method based on light stream and image segmentation, which comprises the following steps: (1) for each frame image in an original two-dimensional video, referring an adjacent latter frame image in the time direction, carrying out light stream analysis, and obtaining a light stream map of the current image; (2) carrying out image segmentation on each frame image in the original two-dimensional video to obtain a segmentation map; and (3) combining the light stream map and the segmentation map of each frame image in the original two-dimensional video to obtain the depth map for representing the three-dimensional video. The invention extracts the motion information of the two-dimensional video by a light stream analyzing method, is more accurate compared with a window matching method, simultaneously combines the image segmentation method to generate the depth map for representing the three-dimensional video, effectively smoothes the noise, and modifies the edge contour of an object.

The invention discloses a super-resolution reconstruction algorithm based on improved neighborhood embedding and structure self-similarity, comprising the following steps: first, the neighborhood embedding method is improved by use of structure similarity, more accurate high-frequency initial estimation is obtained, and an initial estimation algorithm based on neighborhood embedding is realized; and then, the local self-similarity and multi-scale structure similarity of a low-resolution image are used to construct a reconstruction constraint for the purpose of reconstructing high resolution, and a sparse representation dictionary is established. Compared with the prior art, on the basis that the algorithm put forward by the invention solves the problem that the learning-based super-resolution reconstruction algorithm of predecessors needs a lot of training sets, the neighborhood embedding method is improved, the method is adopted to solve the problem of inaccurate high-frequency initial estimation in a super-resolution algorithm based on local self-similarity and multi-scale similarity, and the super-resolution reconstruction effect of images is enhanced; and the saw-tooth effect and the ringing effect are suppressed better, and a reconstructed high-resolution image is closer to the real image and is of better subjective and objective quality.

The embodiment of the invention discloses a motion vector processing-based frame rate up-conversion method and a motion vector processing-based frame rate up-conversion device. The method comprises the following steps of: performing scene detection on an input original video sequence to judge whether a scene is changed or not currently; if a scene change is detected, processing the original video sequence in an interpolation way to obtain processed data; if the scene change is not detected, processing the original video sequence in an extrapolation way to obtain processed data; calculating the processed data by using symmetrical motion estimation to obtain an initial motion vector field; performing motion vector processing on a motion vector of the initial motion vector field to obtain a new motion vector field; and performing adaptive motion compensation processing on a motion vector of the new motion vector field to obtain a frame to be interpolated. By the method and the device according to the embodiment of the invention, calculation complexity and motion estimation complexity can be lowered, the quality of an interpolated frame can be improved, and the requirements of real-time application can be met.

The invention discloses an SAR image de-noising algorithm based on Primal Sketch classification and SVD domain improvement MMSE estimation. The problem that in the prior art, details are fuzzy during SAR image de-noising is solved. The method mainly comprises the steps that firstly, in the Primal Sketch algorithm, an energy image is improved by the adoption of a dual-neighbourhood contrast enhancement method, then the Primal Sketch algorithm is adopted for dividing SAR images into a non-edge class and an edge class; NLSVD decomposition is carried out on the pixel points in the two classes, a singular value matrix is estimated by the minimum mean square error criterion containing constriction factors, and inverse transformation is carried out to obtain the estimation value of the edge class and the estimation value of the non-edge class; finally, edge coefficients are calculated, and the boundary of the edge class and the boundary of the non-edge class are fused through the Butterworth fusion method to obtain a de-noising result. According to the SAR image de-noising algorithm, speckle noise in the SAR image can be effectively removed, and the edge and point target information is well kept.

The present invention offers a display method, which can adjust the brightness of backlight by the brightness correction of the backlight, thereby not only decreasing the power consumption, but also solving the problem of blinking backlights. Especially, the display method of the present invention comprises: receiving an image signals, calculating the typical brightness of said image signal, calculating the brightness correction of the backlight according to the typical brightness of said image signal and the brightness of the backlight, adjusting the brightness of the backlight according to the brightness correction of the backlight, and adjusting said image signal. The display method of the present invention is correcting the image gray and contrast by applying the algorithm of slow changing of backlight according to the brightness scale of the input image, while adjusting the brightness of the backlight, therefore unchanging or increasing the subjective image effect, preventing the blinking of the backlight and improving the quality of the display.

The invention discloses a multi-view video bit rate control method based on sensing. The method is characterized in that bit rates of a view layer, an image group layer, a frame layer and a macro-block layer are respectively controlled, bit allocation of views is determined by pre-encoding an image group in the view layer, target bits and initial quantization parameters of the image group are calculated according to structural characteristics of layered frames B in the image group layer, target bits of each frame are determined according to predicted complexity in the frame layer, and bit allocation of macro-blocks is determined according to a visual perception characteristic modification rate distortion model in the macro-block layer. The method has the advantages that the stability of video quality and the quality of a visual sensitive area are effectively improved by the bit rate control method, the peak signal-to-noise ratio of the most visually sensitive area is increased by 0.18-0.54dB, and subjective effects are obviously improved.

The invention belongs to the technical field of metal corrosion morphology grade judgment, and discloses a corrosion grade information processing method and system based on image recognition, and themethod comprises the steps: obtaining a labeled laboratory metal morphology picture as a data set; carrying out the de-duplication on the obtained training data set, randomly selecting a half of images of each category as a test set, and taking other images as training set images; expanding the training data set, namely carrying out the data enhancement; building a convolutional neural network model by using a Keras framework, carrying out model training, and storing optimal model parameters; and analyzing the grade of the corrosion morphology of the metal surface by utilizing the trained optimal model. According to the method, the judgment of the metal corrosion morphology grade is realized by using a computer vision technology, so the judgment efficiency is greatly improved and the judgment uniformity and objectivity are ensured under the condition of ensuring the judgment accuracy. The method can assist engineers engaged in material research in judging the metal corrosion grade, andvarious difficulties of a previous judgment method are solved.

The invention discloses a traffic light optimization time distribution method based on improved fuzzy control. Firstly, based on the dynamic performance of traffic flow of a single intersection, the average vehicle delay time at the intersection is calculated according to the number of vehicles waiting at all intersections and serves as an evaluation index of performance optimization, wherein the vehicles are detected by intersection sensors; secondly, a fuzzy controller is used for conducting optimization control over a time distribution scheme of traffic lights, and the particle swarm optimization is used for optimizing the fuzzy rule. By means of the traffic light optimization time distribution method, the subjectivity and blindness caused by the fuzzy rule which is manually set can be effectively avoided, and the optimal performance of the algorithm is improved.

The invention provides a TBM tunneling parameter prediction method based on multi-target learning, which can solve the problems of subjectivity of artificial decision and singleness of decision rulesin a traditional control strategy. The method comprises: acquiring TBM tunneling parameters through an intelligent data acquisition system; performing noise reduction and enhancement processing on theTBM tunneling parameters to obtain data of each cyclic in a rising section anda stable section; extracting time domain characteristics of the rising section and the stable section in each cycle, andconstructing an evaluation index reflecting the health state of the TBM; utilizing an artificial intelligence algorithm to effectively represent a nonlinear mapping relation between the rising sectionTBM characteristic index and the stable section multi-target variable, and establishing a multi-target learning-based rock machine action model; carrying out self-adaptive adjustment on parameters ofthe rock machine action model through a nonlinear optimization method; according to the multi-target parameter information estimated by the rock machine action model, enabling the TBM driver to optimize the TBM control strategy by integrating the geological conditions of the surrounding rock and the particle distribution of the slag pieces. According to the method, TBM tunneling parameters can beestimated online, and meanwhile normal operation of the TBM is not interfered.

A self-adapting code rate distribution method of video image macro-block level is provided. The method carries out analysis processing in units of macro blocks, a bit distribution model which combines bits number of a macro block level with the macro block energy is used, so that the bit distribution of each macro block is combined with the macro block energy, in which the macro block energy is obtained through extracting and abstracting the macro block characters. The above model can primely combine the code rate control arithmetic with the nature character of the image, then the accuracy of the code rate control can be improved, the code quality can be controlled at the same time, and the quality change in space of the image can be smoothed, the image subjective quality can be improved.

The invention provides a motion self-adaptive de-interlacing method based on visual characteristics, comprising the following steps of: (1) continuously storing five interlaced rows of videos, and joining a left point and a right point of each pixel point into motion detection to form an FIR (Finite Impulse Response) filter so as to obtain a motion detection value MV; (2) acquiring an interpolation coefficient alpha according to the motion detection value MV by adopting a dynamic double-threshold-value method; (3) acquiring an intra-field interpolation by adopting an edge difference value, and acquiring an inter-field interpolation by adopting an improved three-point median filtering method; (4) carrying out self-adaptive interpolation on a point to be interpolated according to the results of the interpolation coefficient alpha, the intra-field interpolation and the inter-field interpolation, and finally interlacing with existing lines of a current field to realize line-by-line output. According to the motion self-adaptive de-interlacing method provided with the invention, the low-pass FIR filter is added, and therefore, the motion loss inside a moving object is prevented and noises are effectively reduced; a double-threshold-value dynamic regulating method based on a brightness value is introduced according to the visual characteristics of human eyes, and therefore the subjective effect of de-interlacing is enhanced; and different inter-field interpolation methods are introduced for different pixel points, and therefore the interpolation accuracy of slowly moving pixels is enhanced.

The invention belongs to the technical field of HEVC (High Efficiency Video Coding), and discloses a code rate control method based on a subjective region of interest and time-space domain combination. The method comprises the following steps: calculating each CTU grade target bit allocation weight based on a space domain; calculating a motion region of each frame of image based on light streams and a global motion estimation algorithm to serve as a time domain region of interest; adjusting the obtained CTU grade target bit allocation weights according to a time domain region of interest result obtained on the basis of the light streams and the global motion estimation algorithm; performing a center enhancing operation on the CTU grade target bit allocation weights obtained through time-space domain subjective region of interest detection; obtaining final coding CTU grade target bit allocation to perform a coding operation; and modifying a video compression final evaluation standard. Compared with an HM16.0 compression model, the code rate control method has the advantages that the HEVC compression subjective effect is enhanced under the condition of ensuring that a target bit code rate is invariable.

The invention provides a tow hook structure and an automobile. The tow hook structure provided by the invention comprises a tow hook body, a sleeve and a sliding block axially arranged on the inner wall of the sleeve in a sliding manner, wherein one end of the tow hook body is fixedly connected with the sliding block while the other end of the tow hook body is exposed to the sleeve so as to form a limiting ring structure; and a first spring and a second spring are arranged at the two ends of the sliding block respectively, so that the first spring or the second spring is compressed when the sliding block slides. According to the tow hook structure and the automobile, elastic elements are arranged for reducing an impact load, so that the impact and the oblique-pulling breakage can be prevented and the safety of a tow hook can be improved.

The invention discloses a method for reconstructing distributed video coding based on constraints on temporal-spatial correlation of video, which belongs to the technical field of video signal processing, and comprises the following steps: after completing the decoding of a Wyner-Ziv frame code stream, determining the pixel value or conversion coefficient value of the Wyner-Ziv frame into the range of [BL, BU] by a decoder; according to the information such as the statistic correlation between the Wyner-Ziv frame and the side information, the gradient information of the Wyner-Ziv frame in different directions, and grounds between adjacent frames, and the like, modeling the reconstruction of the Wyner-Ziv frame so as to solve the optimal solution problem of Markov random field; introducing the constraint on spatial correlation between adjacent pixels or conversion coefficients in sub-bands by defining energy functions, and calculating some parameters of the defined energy functions by analyzing and using the correlation between adjacent frames by grounds. In the invention, through introducing the constraints on temporal correlation and spatial correlation of the video signals, the subjective quality and objective quality of a reconstruction result can be simultaneously improved.

The invention discloses a code rate control method fusing image features. In frame layer intra-frame target bit allocation, image complexity of images and a target bit of each pixel point are fully considered, the images with high image complexity obtain more target bits, the coding rate is utilized more fully, and quality is more stable; in frame layer inter-frame target bit allocation, image complexity between images in an image group is fully considered, more target bits are allocated to the images with high image complexity; and in a maximum coding unit layer, according to the frame type of a frame wherein a maximum coding unit is, different code rate control strategies are used, so that image features are given more consideration to in a target bit allocation process. The code rate control method fusing image features has the advantages that a peak signal to noise ratio of a video reconstructed by coding using the method provided by the invention is improved by 0.04 to 0.67dB, and code rate control accuracy is improved to 0.00 to 8.49kb / s.

The present invention discloses an adaptive wavelet threshold function image noise suppression method, and belongs to the gray image noise processing technology field. The method of the present invention comprises the following realization steps of 1 importing and optionally selecting a gray image containing the Gauss noise; 2 carrying out the wavelet decomposition on a noise image, and selecting an appropriate wavelet and determining the decomposition level, and then carrying out the wavelet transform to obtain a set of wavelet coefficients; 3 carrying out the threshold quantification processing on the wavelet high frequency coefficients after the wavelet decomposition to obtain a set of wavelet coefficients after the threshold processing; 4 reconstructing the wavelet coefficients after the threshold processing, thereby obtaining a noise suppression image. The method of the present invention solves the disadvantage that a hard threshold function is not continuous at a threshold, at the same time, enables the disadvantage that an error of a soft threshold function estimation coefficient is increased, to be improved correspondingly, and enables the image peak signal to noise ratio to be improved effectively, an image mean square error to be reduced and an image restoration effect to be improved better.

The invention provides a non-negative sparse matrix-based WorldView-2 (WV-2) remote sensing panchromatic and multi-spectral image fusion method, and relates to the field of image fusion. Multi-spectral images are subjected to brightness component extraction by using a non-negative matrix factorization (NMF) algorithm; and then the images are fused by using hyperspherical color space resolution merge (HCS) transformation to obtain a fused image. The fused image is improved in the aspects of detail injection and spectral preservation to a certain extent, and finally a high-quality fused result is obtained. An NMF method is adopted for I component extraction, so that the brightness component extraction precision is improved. Compared with a comparison algorithm, the method is more reasonable, so that the overall quality of the fused image of a WV-2 satellite is relatively high, the fused image is improved in the aspects of the detail injection and the spectral preservation to a certain extent, subjective evaluation and objective analysis results can reach consistency, the obtained fused image is better in visuality, and a picture is clearer. Compared with a traditional remote sensing panchromatic and multi-spectral image fusion method, the method provided by the invention is more advantageous.

The invention relates to a multifunctional vehicle central control system which comprises a control unit, a display screen and a signal transceiving device. The control unit comprises a capacitive touch screen controller, a vehicle navigation control module and a microcontroller, the display screen comprises a projection capacitive touch display screen connected with the capacitive touch screen controller and a capacitive touch sensing switch connected with the microcontroller, and the signal transceiving device transmits signals collected by a vehicle related accessory system sensor to the control unit; the capacitive touch screen controller can convert transverse and longitudinal position original analog signals output by the projection capacitive touch display screen into data flow composed of multiple X and Y coordinate points and transmit the data flow to a DSP (digital signal processor) controlling and processing module and a central processing unit to calculate an accurate position of a body on the projection capacitive touch display screen and decode the accurate position into corresponding gesture indication. The multifunctional vehicle central control system is high in touch sensitivity and supportive of multipoint touch, and comfort of a vehicle and attractiveness of upholstery are improved to a great extent.

The present invention proposes a real estate valuation method based on a random forest, comprising: step 1, establishing a basic database step: collecting real estate data to form a basic database, and using a clustering algorithm or / and a deduplication algorithm or / and a screening algorithm to perform data processing on the basic database , carry out characteristic variable quantitative processing to real estate data; Step 2 establishes the step of random forest model, step 3 steps the step that random forest model is tested, step 4 real estate valuation step, the random forest algorithm of the present invention does not need pre-set function form, can Accurately fit samples of complex nonlinear relationships.

The invention is suitable for the technical field of image processing, and provides an image special effect processing method, device and terminal, and the method comprises the steps: obtaining a to-be-processed face image and a first face semantic segmentation mask corresponding to the face special effect image; inputting the to-be-processed face image and the first face semantic segmentation mask into a dense mapping network to generate a preliminary face image; and generating a target face image through a cyclic generative adversarial network based on the preliminary face image and the facespecial effect image, thereby improving the efficiency, reducing the cost, and enabling the large-scale quick realization of science intrigue movie special effects to be possible.

The invention includes following parts: (1) based on setting of program, CPU outputs signal of PWM square wave signal with specific cycle and duty ratio; after filtering and waveshaping, the output signal becomes a certain DC level, which is as external brightness control signal to be sent to digital video image process and judgment module; (2) meanwhile, CPU outputs high and low level signal for switch of self-adapting brightness control to the said digital module; (3) the said digital module outputs signal of self-adapting brightness control to brightness control pins of back light lamps so as to realize control step. The invention improves subjective contrast of image frame, and increases layer level feeling and penetrating brightness under condition of without changing contrast of LCD self. The invention improves display effect, applicable to each type of liquid crystal TV set.

The present invention discloses a stereoscopic image quality objective evaluation method. Response output after lateral geniculate nucleus processing of each pixel in each of a left viewpoint image and a right viewpoint image of an undistorted stereoscopic image and a distorted stereoscopic image, response output after primary monocular visual cortex processing, response output on different parallax planes after primary binocular visual cortex processing of pixels at the same coordinate position in the left viewpoint image and the right viewpoint image of the distortion stereoscopic image and pixels at the same coordinate position in the left viewpoint image and the right viewpoint image of the undistorted stereoscopic image, and response output on different parallax planes after second binocular visual cortex processing of the pixels at the same coordinate position in the left viewpoint image and the right viewpoint image of the distortion stereoscopic image and the pixels at the same coordinate position in the left viewpoint image and the right viewpoint image of the undistorted stereoscopic image are calculated, so as to obtain a quality vector of the distorted stereoscopic image. Through adoption of the method, the quality change of the distorted stereoscopic image can be well reflected, and a correlation between an objective evaluation result and subjective perception is effectively improved.

The invention discloses a grouping method in a wind power plant based on extreme gradient dynamic density clustering, and the method comprises the steps: selecting indexes of grouping in the wind power plant, and carrying out the abnormal value detection and truncation of corresponding index data in a certain time period; for the preprocessed grouping index data, carrying out dimension reduction selection on the grouping index data by adopting XGBoost; and carrying out cluster division on the selected index data on the basis of DBSCAN-DTW clustering. According to the method, the problem of partial missing of actual wind power plant data can be effectively solved, and the model accuracy is improved; and the method is used for processing the multi-dimensional time sequence characteristic operation data of the fan, so that accurate and effective division of the groups in the wind power plant can be obtained.

The invention discloses an image decoding apparatus for enhancing maneuvering carrier video smoothness. The image decoding apparatus includes a video decoding unit and a control unit. The video decoding unit receives a video signal and decodes the video signal, and generates and outputs video image data for displaying. The control unit connected with the video decoding unit is used for controlling the video decoding unit to carry out smoothing processing on the displayed image when interrupting or losing of the video signal received by the video decoding unit occurs. According to the invention, smoothness of the satellite video; and the occurrence probability of the mosaic jamming and black screen can be reduced. In addition, the invention also discloses a decoding method of the image decoding apparatus for enhancing maneuvering carrier video smoothness, and an image decoding system for enhancing maneuvering carrier video smoothness and a decoding method thereof.