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61results about How to "Suppress image noise" patented technology

Vehicle driving state evaluating method based on road-switching behavior detection

The invention discloses a vehicle driving state evaluating method based on road-switching behavior detection, comprising the steps of: carrying out video acquisition and real-time processing on front road conditions by using a camera so as to achieve purposes of monitoring dangerous driving behaviors of road-switching, long-time line-pressing driving and the like of a vehicle and immediately warn, i.e. arranging a camera facing the front direction inside the vehicle to obtain front road condition information; detecting and tracking a lane line; judging the current position state of the vehicle, if the vehicle is in a line-pressing state, carrying out state tracking to judge whether the vehicle is subjected to lane-switching operation or not; if the vehicle is subjected to the lane-switching operation, judging the behavior danger level of the vehicle according to the lane-switching times within a recent period of time; and if the total time in the line-pressing state within the recent period of time is m percent, making an alarm of the long-time line-pressing driving. For the vehicle active safe driving, by adopting a computer monocular vision and image processing technology, the invention has characteristics of simple system configuration, low cost, good real-time and capability of being applied in various climatic environments in the daytime and at night.
Owner:NANJING UNIV OF SCI & TECH

Apparatus and method for laser treatment with spectroscopic feedback

A platform Smart Scalpel system using rapid real-time feedback for effecting laser treatment. The platform system includes an imaging system for rapid real-time detection of tissue characteristics, a processing system for processing the detected characteristics, and a treatment system for effecting treatment in accordance with results of the processing. The platform system provides for preprogramming and real-time inputting conditions and parameters for diagnosis using the imaging system and / or treatment using the treatment system.
Owner:THE GENERAL HOSPITAL CORP +1

Compressed sensing reconstruction method based on image nonlocal similarity

The invention puts forward a compressed sensing reconstruction method based on image nonlocal similarity. According to the method, image nonlocal similarity, a low-rank matrix and minimum total variation (TV) are combined, and two priors, namely, the local similarity and local smoothness of images, are fully utilized. On one hand, the block effect and the loss of global structure information caused by independent processing of single image blocks in the traditional method are eliminated, and on the other hand, real details of images are retained and false details produced by unreliable information are reduced or removed while noise is suppressed. High-quality compressed sensing reconstruction of images is realized. Compared with a general reconstruction method based on transform domain sparse or TV constraints, the method of the invention is of robustness to noise, better reconstruction quality is achieved, and great improvement is achieved both in visual effect and evaluation index.
Owner:ZHEJIANG UNIV

High-speed solid-state imaging device capable of suppressing image noise

In a CMOS image sensor, current leakage after a series of noise removing operations has been completed is suppressed in a read operation for each horizontal line, thereby suppressing image noise occurring on the output display screen of the image sensor. There are provided signal storage regions for storing the signals read from the unit cells in the same row selected in the imaging area onto vertical signal lines and horizontal select transistors for sequentially selecting and reading the signals stored in the individual signal storage regions and transferring them to read horizontal signal lines. At least in the period during which the signals are read from the signal storage regions, one of the drain and source of the transistor electrically connected to the signal path between the vertical signal line and horizontal signal line is biased in the reverse direction with respect to the substrate region. Two adjacent ones of the horizontal select transistors form a pair. The horizontal select transistors in each pair share one of the source / drain regions so as to be connected to the horizontal signal line in common, and the others of the source / drain regions are connected to the vertical signal line individually.
Owner:KK TOSHIBA

Synthetic aperture radar (SAR) image change detection difference chart generation method based on contourlet transform

The invention discloses a synthetic aperture radar (SAR) image change detection difference chart generation method based on contourlet transform. A realization process mainly comprises the following steps of: firstly, constructing a logarithmic ratio image and a mean ratio image on two SAR images which are preprocessed and obtained at different time and in a same region; generating corresponding Contourlet coefficients by Contourlet transform processing; respectively calculating the coefficients of the two images in a high-frequency mode and a low-frequency mode according to different fusion rules; performing inverse Contourlet transform on the fused Contourlet coefficients to generate a change difference chart. The different characteristics of high frequency and low frequency are respectively extracted by the mean ratio image and the logarithmic ratio image, and complementation information of the source images is fully utilized by the image fusion based on the Contourlet transform, so that the SAR image change detection can have a better result, the detection error ratio is low, the image noise is inhibited, and the analysis precision is improved. Compared with other difference chart generation methods, the method disclosed by the invention is high in noise inhibition and good in edge maintenance, and can reserve change information to the maximum extent.
Owner:XIDIAN UNIV

System and method for measuring vision of variable optical axis

ActiveCN110243283AExpanded imaging field of view and measurement rangeHigh imaging resolution and 3D measurement accuracyUsing optical meansSystem structureImage resolution
The invention relates to a system and a method for measuring vision of a variable optical axis. The measuring system comprises a substrate, a camera, a rotary prism device and a computer, wherein the computer is connected with the camera and the rotary prism device respectively; the camera is arranged on the substrate through a camera adjusting mechanism; the rotary prism device is fixed on the substrate and aligns to the camera in the axial direction; an imaging plane of the camera and a prism plane of the rotary prism device are parallel to each other; and the rotary prism device comprises a prism capable of rotating in a complete cycle. Compared with the prior art, high-resolution target images can be collected by the camera under various optical axis pointing states respectively by sufficiently utilizing accurate pointing characteristic and wide-field scanning capacity of the rotary prism, the imaging view field and measuring range of the system can be enlarged obviously, relatively high imaging resolution and three-dimensional measurement accuracy are realized, and simultaneously, the integration and economical efficiency of system structure design also can be guaranteed.
Owner:TONGJI UNIV

Automatic image enhancement system and method for integrating multi-scale information

The invention discloses an automatic image enhancement system and method for integrating multi-scale information. The system comprises a sample calibration module which collects a training set image,marks a pixel level of the training set image, determines a mapping range of a label, and obtains a corresponding reference standard image, a network automatic construction module which inputs a corresponding reference standard image, specifies an image range to be perceived, automatically calculates the size and number of convolution kernels in a multi-scale fusion module, and generates a convolutional neural network model, an automatic training network module which carries out offline training of the convolutional neural network model by using a random gradient descent method optimized pixelweight loss function, and a network application network which inputs a new image into the trained network and outputs an enhanced image with the size of an original image. By integrating multi-scalefeatures, context information is effectively utilized, the image is automatically enhanced, and manual intervention is not needed.
Owner:CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST

Haze removing method for single image based on image haze concentration estimate

The invention discloses a haze removing method for a single image based on image haze concentration estimate. The method comprises the following steps: 1) inputting a haze image; 2) converting the inputted image from the RGB space into the HSV space; dividing SV channel images and calculating the characteristic vectors of the local blocks; 3) with the target of making the lowest image haze concentration, calculating the initialized optimal atmosphere transmission value for the haze image; 4) using a guide filter to refine the optimal atmosphere transmission value; and 5) calculating the refined optimal atmosphere transmission value, the atmosphere light estimation value as well as the brightness value of each pixel in the haze image to obtain a clear image. According to the invention, through the conversion of image haze removal into the problem of haze concentration minimizing, the atmosphere transmission value can be determined accurately so as to remove the haze as much as possible and to avoid the severe halo formation and image noise in the saturated areas. Not only the haze can be eliminated effectively, but also the halo formation and image noise can be controlled not to rise. Therefore, the method can be applied to different complex weathers.
Owner:HUNAN UNIV

Laser underwater imaged image denoising and enhancing method for ocean exploration

The invention provides a laser underwater imaged image denoising and enhancing method for ocean exploration, and belongs to the field of image processing and pattern recognition. The core of the method is that at first, noise processing is performed on a laser underwater imaged image by applying SVD (singular value decomposition) and reconstruction in an airspace; then, aiming at the problem that the image has a little noise after SVD processing, wavelet decomposition and reconstruction are performed on the image in a wavelet domain to realize the purpose of wavelet denoising and enhancing; at last, FFT enhancing is performed on the image in a frequency domain to improve the image contrast and effectively keep the image resolution. Experiments show that the method can overcome a blocking effect due to equalization of local histogram equalization, and the image noise is effectively inhibited and the image resolution is kept under the premise that the image enhancement is realized.
Owner:CHONGQING UNIV

Image generation method and device, terminal equipment

The invention provides an image generation method and device, and terminal equipment. An image sensor that is provided in advance includes a photosensitive pixel array and an optical filter arranged on the photosensitive pixel array, the optical filter includes a filtering unit array, each filtering unit covers m*n photosensitive pixels which form a merged pixel, m*n>1, brightness information of a photographing environment is obtained, a unit pixel quantity P corresponding to the brightness information is determined according to a preset strategy, 1<=P<=m*n, and outputs of a plurality of photosensitive pixels which belong to a same merged pixel is correspondingly processed according to the unit pixel quantity, thereby generating an image of corresponding resolution. Adjustment of the light inlet quantity of a unit pixel is realized through dynamic adjustment of the unit pixel quantity according to the brightness condition of the photographing environment, and the image of corresponding resolution is generated, thereby suppressing noisy points of the image, and improving definition of the image.
Owner:GUANGDONG OPPO MOBILE TELECOMM CORP LTD

Image forming apparatus including a conveyance unit for passing a recording medium

A one-pass system image forming apparatus for forming an image on both sides of a recording medium is capable of easily suppressing image disturbance caused when an unfixed toner image suffers abrasion when a sheet of transfer paper is conveyed from double-sided transfer means to a fixing device, and image disturbance caused when toner that has become adhered to a guide portion for guiding the transfer paper from the double-sided transfer means to a fixing nip of the fixing device is transferred to a subsequent sheet of transfer paper.
Owner:RICOH KK

Solid-state imaging element and camera system

A solid-state imaging element includes: a pixel section having a plurality of pixels arranged in a matrix form, each of the pixels converting an optical signal into an electric signal and storing the electric signal according to exposure time; a dummy pixel section having dummy pixels arranged in a matrix form; and pixel drive sections adapted to control the pixel operations in such a manner as to operate an electronic shutter on and read the pixel section and dummy pixel section, wherein when an electronic rolling shutter is operated in which the pixels are shuttered row by row, the pixel drive sections judge whether the current and next frames are shuttered concurrently and in parallel so as to determine in which horizontal read period the dummy pixel section is to be shuttered.
Owner:SONY SEMICON SOLUTIONS CORP

Image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging

The invention provides an image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging, which belongs to the technical field of image processing. The method comprises the following steps of calculating to obtain an initial low-frequency base layer image by using a bilateral filtering algorithm according to a 16-bit original image; calculating to obtain an initial high-frequency detail image; performing adaptive histogram equalization (CLAHE) operation on the initial low-frequency base image to obtain a first 8-bit low-frequency base image; performing global histogramequalization processing on the initial low-frequency base image to obtain a second 8-bit low-frequency base image; obtaining a final high-frequency detail image by utilizing automatic gain control operation according to the initial high-frequency detail image; utilizing linear weighting calculation to obtain a final low-frequency base layer image; and fusing the final high-frequency detail image and the final low-frequency base image to obtain an enhanced output image. According to the method, problems of poor scene adaptability and over-enhancement of the existing infrared thermal imaging wide dynamic range image enhancement technology are solved.
Owner:GUOKE TIANCHENG BEIJING TECH CO LTD

Single image haze removal method combined with human vision characteristic

ActiveCN104182943AImprove detail abilityPrecise local normalized brightness change amplitudeImage enhancementSingle imageVisual perception
The invention discloses a single image haze removal method combined with the human vision characteristic. The method includes the following steps that firstly, a haze image is input and a dark channel image of the haze image is acquired; secondly, an atmosphere illumination value of the haze image is estimated according to a dark primary color prior method; thirdly, an initial optimal atmospheric transmission value of the haze image is calculated; fourthly, a guide filter is used for refining, so that a refined optimal atmospheric transmission value is acquired; fifthly, the refined optimal atmospheric transmission value obtained through the fourth step and the atmosphere illumination estimated value are combined with the input haze image, so that a clear image is acquired. According to the method, methods such as saturation region segmentation combined with the human vision characteristic and self-adaption atmospheric transmission value calculation are adopted, haze of each pixel in the haze image is accurately removed, and the detail recovery effect of the image is improved; haze is effectively removed, meanwhile, the halo phenomenon can be restrained, image noise is prevented from being generated, and the method is suitable for different complex weather and is high in calculation speed.
Owner:HUNAN UNIV

Non-local mean filtering method based on direction field estimation

ActiveCN102737230AImprove the level of similarity evaluationIncreased PSNR valueCharacter and pattern recognitionFingerprintNon-local means
The invention discloses a non-local mean filtering method based on direction field estimation. The non-local mean filtering method comprises the following steps of receiving a discrete noise fingerprint image, establishing a direction field estimation model of a pixel block in the discrete noise fingerprint image, and performing non-local mean filtering on the discrete noise fingerprint image based on the direction field estimation model to obtain a final denoising fingerprint image. According to the non-local mean filtering method, the problem of poor inhibition performance and poor robustness on noise in the conventional method is solved, contrast among grains in the fingerprint image is enhanced, and characteristic information in the fingerprint image is protected from damage.
Owner:HUAZHONG UNIV OF SCI & TECH

Solid-state imaging device and camera

A solid-state imaging device comprises a pixel array including a plurality of pixels arranged in rows and columns, and a readout unit operable to read out pixel signals of the pixels included in the pixel array row by row. The readout unit (i) reads out pixel signals of a row of pixels in column order of the pixel array during a horizontal readout period, except during a readout-standby period that is within the horizontal readout period, and (ii) suspends reading out the pixel signals of the row of pixels in the column order during the readout-standby period.
Owner:PANASONIC CORP

GRHP based unmanned plane infrared image detail enhancement method

The invention belongs to the technical field of image processing, and more particularly relates to a GRHP based unmanned plane infrared image detail enhancement method. The method comprises the steps of sequentially performing denoising, filtering, subtraction, enhancing and synthesizing on an original image; performing adaptive threshold value histogram projection on synthesized image; and obtaining an output image. The method has the beneficial effects that the running efficiency is high, and an infrared video can be processed in real time when the unmanned plane has low hardware configuration; due to introduction of Gaussian constraint filtering, manual work effect is prohibited effectively, and the detail enhancement effect of the method on the infrared image is ensured; due to introduction of an adaptive detail enhancement coefficient, transient state continuity of the method in video processing is solved, and adaptation of the method to a scene is improved; and due to introduction of the adaptive threshold value histogram projection, image noise is further prohibited, furthermore, image contrast is effectively improved, and the detail enhancement capability of the method is improved.
Owner:CHINA AEROSPACE TIMES ELECTRONICS CORP

Image forming apparatus and holding method of image carrier

An image forming apparatus is included of a pivotally rotated photosensitive drum, a developing roller for developing an electrostatic latent image formed on this photosensitive drum, and an intermediate transfer belt for temporarily holding the toner image which has been developed to be formed by the developing roller. This developing roller is equipped with a tracking roller which abuts against the photosensitive drum so as to keep a distance between the developing roller and the photosensitive drum as a constant distance. A direction of weight “a” produced by this tracking roller with respect to the photosensitive drum may be positioned within a so-called “wrap range” corresponding to an abutting range between the intermediate transfer belt and the photosensitive drum.
Owner:FUJIFILM BUSINESS INNOVATION CORP

Vehicle driving state evaluating method based on road-switching behavior detection

The invention discloses a vehicle driving state evaluating method based on road-switching behavior detection, comprising the steps of: carrying out video acquisition and real-time processing on front road conditions by using a camera so as to achieve purposes of monitoring dangerous driving behaviors of road-switching, long-time line-pressing driving and the like of a vehicle and immediately warn, i.e. arranging a camera facing the front direction inside the vehicle to obtain front road condition information; detecting and tracking a lane line; judging the current position state of the vehicle, if the vehicle is in a line-pressing state, carrying out state tracking to judge whether the vehicle is subjected to lane-switching operation or not; if the vehicle is subjected to the lane-switching operation, judging the behavior danger level of the vehicle according to the lane-switching times within a recent period of time; and if the total time in the line-pressing state within the recent period of time is m percent, making an alarm of the long-time line-pressing driving. For the vehicle active safe driving, by adopting a computer monocular vision and image processing technology, the invention has characteristics of simple system configuration, low cost, good real-time and capability of being applied in various climatic environments in the daytime and at night.
Owner:NANJING UNIV OF SCI & TECH

Multi-tensor-based magnetic resonance diffusion weighted image structure adaptive smoothing method

The invention discloses a multi-tensor-based magnetic resonance diffusion weighted image structure adaptive smoothing method, relates to a magnetic resonance diffusion weighted image smoothing method, belongs to the field of medical image processing, and solves the problem that the accuracy of the fiber structure information of each obtained voxel is low because of poor noise suppression in the conventional method. The multi-tensor-based magnetic resonance diffusion weighted image structure adaptive smoothing method comprises the following steps: firstly, selecting related parameters, and setting an initial neighborhood radius; secondly, calculating the initial fiber structure information of each voxel; thirdly, calculating the weights of all voxels in the neighborhood radius on the voxel according to the fiber structure information, performing weighted smoothing on a magnetic resonance diffusion weighted image, and recalculating the fiber structure information of each voxel after the magnetic resonance diffusion weighted image is smoothed; fourthly, judging whether a stopping criterion for iteration is met or not, if not, expanding the neighborhood radius and continuing to performing the third step, or else, ending the calculating. The multi-tensor-based magnetic resonance diffusion weighted image structure adaptive smoothing method is applicable to processing the information of the magnetic resonance diffusion weighted image.
Owner:严格集团股份有限公司

Image denoising method and system based on edge tracking

ActiveCN105069764APreserve high-frequency detail informationSuppress image noiseImage enhancementImage analysisLow noiseImage denoising
The invention provides an image denoising method and system based on edge tracking. The method comprises the following steps: S1, obtaining multi-frame continuous images; S2, selecting one reference image from the continuous images, and performing edge detection processing on the reference image to obtain a plurality of edges; S3, for each obtained edge of the reference image, searching for a corresponding edge in each non-reference image; S4, expanding each edge of the reference image to form an edge area, and for each pixel point in the edge area, replacing an original gray scale value by use of a median of the gray scale values of all the corresponding pixel points in the multi-frame continuous images; and S5, carrying out denoising processing on a non-edge area of the reference image. According to the image denoising method and system based on the edge tracking, low-noise edges are synthesized by use of edge information of adjacent frame data while image noise is inhibited; and high-frequency detail information of the edges and the like is effectively reserved.
Owner:北京凤凰师轩文化发展有限公司

Plasma display panel driving method and apparatus

The present invention relates to a driving method and apparatus of a plasma display panel. The driving method including the steps of: checking whether or not a first input grayscale data can be expressed through a certain pixel on the panel; in case the first grayscale data cannot be expressed, outputting a second grayscale data adjacent to the first grayscale data; and respectively multiplying erroneous data corresponding to a difference between the first grayscale data and the second grayscale data with preset coefficient values to diffuse the multiplied result to a plurality of pixels adjacent to the pixel, wherein before the erroneous data are respectively multiplied with the preset coefficient values, a random value is multiplied to at least one coefficient value among the plurality of coefficient values.
Owner:LG ELECTRONICS INC

Image enhancement method based on black-white-color binocular camera

The invention discloses an image enhancement method based on a black-white-color binocular camera. The problem of multispectral image enhancement is converted into the problem of low-rank matrix filling. Aiming to solve the problem that accurate stereo matching can cause high time complexity and is difficult to apply, an image enhancement method based on a black-and-white-color camera is provided,black-and-white image feature points and a color image are matched, color values of matching points in the color image are regarded as color values of the black-and-white image feature points, and the color of the black-and-white image is recovered through pixel points with known color values by means of a low-rank matrix filling method. According to the method, the operation efficiency can be effectively improved, the image sharpness is improved, the image details are enhanced, the image noise is inhibited, and the method has very important significance in the field of image processing.
Owner:长沙市军英电子科技有限公司

Infrared image enhancement method, device and equipment and computer readable medium

The invention discloses an infrared image enhancement method, device and equipment and a computer readable medium. The infrared image enhancement method comprises the following steps: acquiring an original infrared image; extracting high-frequency information and low-frequency information in the original infrared image; calculating an adaptive gain coefficient of the original infrared image according to the local average variance and the global average value of the original infrared image; enhancing the high-frequency information by using an adaptive gain coefficient, and synthesizing a preliminary enhanced image according to the low-frequency information and the enhanced high-frequency information; and carrying out filtering processing on the preliminary enhanced image to obtain an output enhanced image. According to the method, the adaptive gain coefficient is calculated by adopting simple local mean variance and global mean square error, and the enhanced image is synthesized by utilizing the adaptive gain coefficient, so that compared with an image enhancement algorithm of a spatial domain and a frequency domain in the prior art, the method has the advantages of small calculation amount, simple algorithm, good real-time performance, wider application range and contribution to practical engineering application.
Owner:SUZHOU CHANGFENG AVIATION ELECTRONICS

Image edge processing method based on guided filtering and application

ActiveCN113610734AEasy to adjustReduce or avoid the phenomenon of losing high-frequency detail informationImage enhancementImage analysisAbsolute differenceRadiology
The invention discloses an image edge processing method based on guided filtering and application, and relates to the technical field of digital image processing. The method comprises the following steps of: acquiring an input image and a guide image; collecting a set first rectangular window wk1 used for weak denoising and a set second rectangular window wk2 used for strong denoising; using the window wk1 for guided filtering weak denoising, and using the window wk2 for guided filtering strong denoising; obtaining a denoising intensity absolute difference according to the filtering coefficients corresponding to the two windows, and obtaining a corresponding filtering weight according to the absolute difference; obtaining the value of the edge gradient of a strong denoising result image, and then judging pixel information needing edge smoothing processing; and based on a weak denoising result image and the filtering weight, carrying out edge smoothing processing on pixels to obtain a final result image. According to the method, edge smoothing can be achieved while image noise is suppressed and edge details are kept, the denoising intensity and the edge smoothing intensity can be independently controlled, the applicability is wide, and the flexibility is high.
Owner:MOLCHIP TECH (SHANGHAI) CO LTD

Image sensor, camera module and electronic equipment

The invention discloses an image sensor, a camera module and electronic equipment, and relates to the technical field of image processing. The image sensor comprises a pixel array and a plurality of amplifiers, the pixel array comprises a plurality of pixel groups arranged in the row direction and / or the column direction, each pixel group comprises a plurality of pixels with different colors, andthe amplifiers are in one-to-one correspondence with the pixels; the input end of the target amplifier is connected with the output end of a target pixel, the output end of the target amplifier is connected with a column line where the target pixel is located, the target amplifier is any one of the amplifiers, and the target pixel is a pixel corresponding to the target amplifier.
Owner:VIVO MOBILE COMM CO LTD
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