40 results about "Image processing hardware" patented technology

A system and method for combining images generated by separate sources. The system comprises a plurality of video image data sources that generate separate video images. The video images are captured and scaled by image processing hardware to fit within the viewports of a target window generated by a computing device. The parameters of the viewports are associated with the parameters of the target window such that changes to the target window result in corresponding changes to the viewports. The method comprises scaling the separate images to fit within the viewports using redundant data within each video image to interpolate pixel data at the boundary regions of adjacent images to eliminate artifacts at the boundary regions.

A synoptic, broad-area remote-sensing system using multiple sensors mounted on an airborne platform. Commercially available optical telescopes can be used as the sensors and can be mounted to the platform with fixed location and orientation to collectively view a wide strip of land. Each telescope views a generally linear coverage area which overlaps an adjacent coverage area of another telescope. The images from the coverage areas of the multiple telescopes are stitched in electronic image processing into continuous strips of high-acuity image data. Calibration, distortion correction, alignment and the like are carried out in the electronic image processing using proven, commercially available hardware and software. The image detection for each telescope can be implemented using a linear arrangement of multiple, overlapping linear detectors to yield a wide, high-acuity, virtual field-of-view. The linear detectors can be commercially available detectors with multi-spectral capabilities. A system with large-area synoptic coverage can thus be implemented using low cost, commodity optics and detectors in combination with commercially available image processing hardware and software.

This process and invention may be used for “live” (on-line, recorded, real-time, or transmitted) stereoscopic image generation, post-production, and viewing to ensure the imagery, from the cameras through the systems to the final screens, maintains an acceptable level of viewer comfort and actively causes an action if an image becomes “uncomfortable” to view. The invention will use image-processing hardware and software to monitor stereoscopic 3D image data, and will generate an output response based on qualifying the imagery. The output responses include generating an alarm to alert technical crew members to a “discomfort” condition so they may take corrective action. The alarm may be an audio or visual alert, and warn of the type of discomfort detected. The alarm condition may trigger the automatic control of a video switching device, which would immediately route an appropriate “comfortable” input source to the output. The alarm condition may duplex a single camera or playback signal into an identical stereo pair, which will be 2D, but will be comfortable to view.

System for sensing perturbations in a distributed manner using an array of multimode fibers for localization (zone identification) of the perturbation, particularly, the present invention relates to a two dimensional array based speckle pattern sensing system having 4x3 (12) multimode fibers for sensing perturbation in multiple zones, said multimode fibers are imaged in parallel by a charge coupled device (CCD) camera and their speckle pattern analyzed by a conventional image processing hardware to determine the perturbations.

Disclosed are an image processing method, an image processing apparatus, an image processing hardware apparatus, a computer readable storage medium, and an image processing terminal. The image processing method comprises the following steps: identifying eye key points on a face image; interpolation value to obatin auxiliary key point; wherein the auxiliary key point and the eye key point form a first triangulated mesh at a predetermined position of the eye on the face image; Transforming the eye makeup effect image to a predetermined position of the eye according to the first triangulation mesh. The disclosed embodiment can solve the problem that the triangulation mesh shapes of different people are different in different states of the eyes, thereby realizing the technical effect that different people can better add a desired eye makeup effect map to the eye in different states of the eyes, thereby improving the user experience effect.

The invention discloses an analysis iteration fast frequency spectrum extrapolation method for single image restoration, comprising an iteration system initialization process and an analysis iteration process, wherein in the iteration system initialization process, a degraded image frequency spectrum is calculated, and a primary iteration solution and a system primary parameter are set; in the analysis iteration process, the level of images and gradient information along a vertical direction are estimated by continuously elaborate gradient information threshold values in a shrinking way, a forecasting frequency spectrum is forecasted and obtained by analyzing an iteration frequency spectrum and gradient information frequency spectrum, and a high-definition image is obtained by synthetically correcting the degraded image frequency spectrum and forecasting frequency spectrum analysis through image frequency spectrum synthesis correction. The analysis iteration fast frequency spectrum extrapolation method is based on a fast Fourier transform technique, achieves the fast image restoration with little complexity through frequency spectra below cut-off frequencies and by extrapolating frequency spectra above the cut-off frequencies and has obviously superior deblurring and noise restraining capability compared with a conventional method, thereby obviously enhancing the signal-to-noise ratio; and the analysis iteration fast frequency spectrum extrapolation method is convenient to realize by utilizing image processing hardware formed by fast Fourier transform DSP chips.

As video systems develop rapidly, a lot of video applications already appear, and subsequently, a large number of algorithm designs and image processing hardware devices emerge. One is the application of a wide-angle lens - fisheye lens. The fisheye lens has the advantages of short focal distance and wide visual angle, and is widely applied in fields such as virtual scenes, video monitoring, intelligent transportation and robot navigation. However, the fisheye lens has an inherent shortcoming, images shot by the fisheye lens are distorted severely, and if the projection information of the severely distorted images needs to be utilized, the distorted images have to be corrected into images according with the visual habit of people. The invention presents a rapid and accurate algorithm, i.e. a panoramic view algorithm for fisheye lens correction. The algorithm is integrated with the advantages of the latitude and longitude correction algorithm and the ball iteration algorithm, and thereby is improved in terms of time and precision.

An image display system delivers image data to multiple separate displays without expensive duplication of image processing hardware. The image display system may be used in a vehicle to distribute many types of information to different individuals in the vehicle. The image display system may deliver navigational information to a driver, while providing movies, video game, or other entertainment images to other passengers.

The invention relates to a multiprocessor-embedded image acquisition and processing method and device which have the advantages of simple algorithm, high efficiency and low cost. The invention comprises image processing hardware structure, an image segmentation method, an image processing algorithm and an image synthesis method. The device comprises an image sensor, wherein the image sensor is connected with an image sensor control circuit, and also connected with an image acquisition and segmentation module; the image acquisition and segmentation module is connected with a plurality of subprocessors; the subprocessors are respectively connected with corresponding memories; and the image sensor control circuit is also respectively connected with the image acquisition and segmentation module, the subprocessors and the corresponding memories. Compared with the system with a multi-image sensor, the system provided by the invention is more convenient to install and use, and the cost is lower.

The invention relates to an image processing method. The method comprises the steps: converting a plurality of pixel sets of an image into a color space, wherein the color space comprises a color subspace and a brightness subspace, and the color subspace mainly corresponds to a spectral frequency position of visible light; carrying out first class distribution statistics on corresponding visible light spectral frequency positions of the pixel sets of the image in the color subspace, and carrying out second class distribution statistics on corresponding brightness values of the pixel sets of the image in the brightness subspace; clustering the pixel sets of the image by using the first class distribution statistics and the second class distribution statistics, so as to form a plurality of image blocks; carrying out subsequent process on the image by using the image blocks. According to the image processing method, through color dimension reduction processing, the difficulty of image processing is greatly lowered, the increase of image processing speed is facilitated, and the requirements on image processing hardware are lowered.

The invention relates to the field of LED display and image sensors, and particularly relates to an equipment monitoring system based on visible light communication. The equipment monitoring system comprises multiple pieces of equipment to be monitored, wherein each piece of equipment to be monitored is at least provided with one LED. The equipment monitoring system also comprises monitoring equipment, wherein the position and angle of the monitoring equipment relative to the equipment to be monitored are fixed, the monitoring equipment comprises an imaging lens, an image sensor and image processing hardware, the imaging lens is used for shooting the LED on the equipment to be monitored, the image sensor is used for imaging a picture shot by the imaging lens, and the image processing hardware is used for identifying the state of the equipment to be monitored on which the LED is positioned according to the position, emitting light color and flicker frequency of the LED. The equipment monitoring system provided by the invention achieves a network management function, as well as concentrated recording and monitoring of a large quantity of equipment to be monitored, avoids negligence or omission, and is simple and low in cost.

Methods and systems for wide dynamic range display are presented. In one embodiment, a method includes receiving a Color Filter Array (CFA) pixel signal, computing, using image processing hardware, an adaptation factor for the CFA pixel signal, the adaptation factor having a global factor component and a local factor component, and computing, using the image processing hardware, an adapted pixel signal for the CFA pixel in response to a reverse exponential function featuring the adaptation factor. In one embodiment, computing the adapted pixel signal for the CFA pixel does not require frame memory. Also, the adaptation factor may have a value between 0 and 1, in certain embodiments.

A method and system for providing an application specific integrated circuit (ASIC) for a digital image processing system is disclosed. The method and system include providing a microprocessor subsystem and providing an image processing subsystem. The microprocessor subsystem controls the digital image processing system. The image processing subsystem includes image processing hardware and programmable logic. The programmable logic includes a plurality of programmable cells that are customized during fabrication of the ASIC.

A system, method, and apparatus are provided for correcting image distortions in an image processing hardware unit by specifying an input block having a dynamic or adaptive size that is capable of storing up to a plurality of distorted input sub-images from an array of distorted input sub-images stored in external memory that is connected to the image processing hardware unit, and then fetching one or more first distorted input sub-images from the external memory for storage in internal memory of the image processing hardware using the input block to perform a single read operation so that the image processing hardware can then process the one or more first distorted input sub-images as a group for distortion correction to generate a one or more first corrected output tiles.

A system and method for combining images generated by separate sources. The system comprises a plurality of video image data sources that generate separate video images. The video images are captured and scaled by image processing hardware to fit within the viewports of a target window generated by a computing device. The parameters of the viewports are associated with the parameters of the target window such that changes to the target window result in corresponding changes to the viewports. The method comprises scaling the separate images to fit within the viewports using redundant data within each video image to interpolate pixel data at the boundary regions of adjacent images to eliminate artifacts at the boundary regions.

A method for implementing error diffusion process with memory management is disclosed to separate several small blocks in one image that needs to be error diffused. The size of every small block is smaller than the internal static random access memory (SRAM) size. When doing error diffusion on one small block, the pixels located at the edge of the block that cannot be diffused are reserved in the SRAM or the dynamic random access memory (DRAM). When doing error diffusion on the next block, the previous reserved pixels are reused. These steps are repeated to process all the blocks until the whole image is finished with error diffusion. This method can reduce external DRAM access times, use smaller internal SRAM sizes and improve the performance of the image process hardware.

The invention discloses a wireless embroidery system. The wireless embroidery system comprises a wireless control system, an image processing system, a wireless embroidery system frame and a machine head system, wherein the machine head system is fixed to the output end of the wireless embroidery system frame, the input end of the wireless embroidery system frame is connected with the output end of the image processing system, the wireless control system is arranged at the input end of the image processing system, the machine head system comprises a machine arm, a servo motor is arranged on a joint of the mechanical arm, the wireless control system comprises a microprocessor and a wireless receiving and transmitting device, the model of the microprocessor is x86, the wireless receiving and transmitting device comprises a wifi device, a Bluetooth device and a radio frequency device, and image processing hardware is arranged in the microprocessor. In this way, the wireless embroidery system has the function of automatically having control over embroidery operation.

The invention discloses an image processing method, an image processing device, an image processing hardware device and a computer readable storage medium. The image processing method comprises the steps of performing corresponding processing on an original image to obtain an edge image, an image gradient and a color processing image respectively; obtaining a first image according to the image gradient; performing convolution integral on the edge image and the first image to obtain an edge integral image; and generating a watercolor style image according to the edge integral image and the color processing image. According to the embodiment of the invention, the edge image, the image gradient and the color processing image are respectively obtained by correspondingly processing the originalimage; a first image is obtained according to the image gradient, convolution integral is performed on the edge image and the first image to obtain an edge integral image, and a watercolor style image is generated according to the edge integral image and the color processing image, so that a watercolor style image can be quickly and automatically generated from one image without later manufacturing.

The invention discloses an image processing method for enhancing image border resolution, and the method provided by the invention comprises the following steps: converting an image into an image layer; removing the noise from the image layer by using a bidirectional filter and generating an image layer with high resolution ratio; grading the image layer with high resolution ratio by using a sharpen filter, removing the inhomogeneous edge of the image layer with high resolution ratio and generating a sharpen image layer; and reinserting the sharpen image layer by using a reinserting filter and generating an image layer with high resolution. By using the image processing method provided by the invention, the image dimming is greatly reduced, the image resolution ratio is increased, and themethod can be widely loaded to various image processing hardware devices.

The invention discloses a video monitoring and acquisition system with image enhancement functions. The video monitoring and acquisition system comprises an image obtaining apparatus for obtaining images, an analog-to-digital conversion apparatus AD, an image processing module which enhances the digital picture signals subjected to the analog-to-digital conversion, a digital-to-analog conversion apparatus DA, a video storage module, a monitor terminal, and a control center module for controlling the operation state of the whole system. The video monitoring and acquisition system employs an embedded hardware platform, and optimizes software algorithm. In this way, the size and power consumption of image processing hardware devices are substantially reduced, and real-time image enhancement can be realized. The video monitoring and acquisition system can be conveniently integrated with an image acquisition device, and modularized design facilitates free allocation of function modules. The video monitoring and acquisition system is more suitable for application situations, and the purchasing cost is lowered.

The invention discloses an image processing method for enhancing image border resolution, and the method provided by the invention comprises the following steps: converting an image into an image layer; removing the noise from the image layer by using a bidirectional filter and generating an image layer with high resolution ratio; grading the image layer with high resolution ratio by using a sharpen filter, removing the inhomogeneous edge of the image layer with high resolution ratio and generating a sharpen image layer; and reinserting the sharpen image layer by using a reinserting filter and generating an image layer with high resolution. By using the image processing method provided by the invention, the image dimming is greatly reduced, the image resolution ratio is increased, and the method can be widely loaded to various image processing hardware devices.

There is provided a system and technique for generating holograms using standard image processing hardware with reduce computational complexity. In one aspect, there is provided a holographic image display system comprising a processor receiving image data at an input and producing output hologram data based on the image data, wherein the image data comprises three-dimensional image data that is separable into a plurality of two-dimensional image layers at different image planes, and wherein the processor is configured to: a) perform a space-frequency transform, such as a Fourier transform on each image layer to provide a transformed image layer, b) apply a focus factor to each transformed image layer, c) apply a pseudo-random phase factor to each transformed image layer, and d) sum the transformed image layers to form a holographic sub-frame, e) repeat steps (c) and (d) for a plurality of iterations, applying a different pseudo-random phase factor to the transformed image layers in each iteration to form a plurality of holographic sub-frames, the output hologram data comprising the plurality of holographic sub-frames; and f) drive a spatial light modulator with the holographic sub-frames in rapid temporal succession to generate a holographic image. By applying a pseudo-random phase factor to each image layer after it has been transformed, a large number of holographic sub-frames can be generated without the need to perform a Fourier transform for each sub-frame.

An apparatus includes at least an image drawing request reception unit, an instruction generation unit, an encoding unit and a transmission unit. The image drawing request reception unit is configured to receive an image drawing request. The instruction generation unit is configured to connect to the image drawing request reception unit and generate at least one hardware instruction according to the image drawing request. The encoding unit is configured to convert the at least one hardware instruction into a transmission data. The transmission unit is configured to transmit the transmission data to the external image device through a transmission interface. The external image device obtains the at least one hardware instruction by decoding the transmission data and drives an image processing hardware of the external image device to generate a display image according to the hardware instruction.

The invention discloses an accessory system for medicine CT image diagnosis. The system utilizes powerful functions of a DSP chip in image processing and organically combines the DSP chip and a PC machine to set up a small CT image processing hardware system, thereby collecting the image contents of a medicine CT picture to the DSP chip through a video collection module in real time and carrying out various image processing processes which is beneficial to pathogenetic condition diagnosis for a doctor on collected image data, wherein the processes comprises medicine CT image edge detection, interpolation and other basic operations; the system uses a TMS320DM642 chip from a TI company as a system core, the video collection module is composed of a high resolution camera and TVP5150 video decoding chips, and a video output module consists of SAA7104 video coding chips; and finally, an emulator and Ethernet are connected with the PC machine to realize the data communication of a host and the system. The invention can greatly improve efficiency and level of modern medical diagnosis and treatment, has low manufacturing cost and wide application prospect, and can be produced in batch.

The invention provides a method for repairing and presenting a super wide-angle distorted image and a mobile phone capable of photographing the image, comprising the steps of: obtaining a super wide-angle distorted image; construct super wide angle distorted image inpainting model; in coordinate system X-Y-Z, the view plane ABCD is selected as the view plane of the initial angle, and the view plane ABCD is parallel to the YOZ plane and tangent to the hemisphere plane, and the projection image of the ultra wide angle distorted image on the view plane ABCD is obtained. After rotating the displayscreen to rotate the view plane ABCD, the view plane of other angles is obtained, and the projection image of the super wide angle distorted image on the view plane of other angles is obtained according to the view plane ABCD. A wide-angle lens is arranged on the mobile phone body, so that the mobile phone can take super wide-angle distorted images, and the super wide-angle distorted images are repaired into 180-degree viewing angle space by constructing a super wide-angle distorted image repairing model, and finally the image content is avoided to waste through display screen, and the cost of image processing hardware and software is reduced. The invention is applied to the field of image processing.

The invention discloses an automobile image fusion parking system which comprises a camera, an image receiving hardware module, an image processing hardware module, a PDC radar, a distance sensing hardware module, a vehicle control hardware module and a power management hardware module. The image receiving hardware module receives an image signal acquired by the camera, and sends the image signal to the image processing hardware module after encoding processing; the image processing hardware module processes the image information into obstacle information and parking space information and then sends the obstacle information and the parking space information to the vehicle control hardware module; the distance sensing hardware module receives obstacle distance information and space parking space information detected by the PDC radar and then sends the obstacle distance information and the space parking space information to the vehicle control hardware module; and the vehicle control hardware module receives the vehicle state information from the whole vehicle network, carries out fusion processing on the obstacle distance information and the parking space information sent by the image processing hardware module and the distance sensing hardware module, generates a real-time control instruction, and sends the control instruction to the whole vehicle network in real time for vehicle action control.

The invention discloses an improved Canny detection algorithm edge detection method based on a hexagonal structure. The method mainly comprises the steps of transformation from a quadrilateral pixel image to a hexagonal pixel image, morphological transformation, canny detection and convex hull detection. The step of converting quadrilateral pixels into hexagonal structure pixels comprises the following steps: determining the center coordinates of the hexagonal pixels according to the column number of hexagonal pixel blocks, calculating the average pixel intensity of the hexagonal pixels, and carrying out iterative calculation based on the coordinate relationship corresponding to the hexagonal pixels and the quadrilateral pixels and the corresponding pixel relationship. Morphological optimization is performed on the obtained hexagonal structure image by using open-close filtering operation, a two-dimensional Gaussian filtering function is constructed to perform filtering and noise reduction again, the pixel gradient of the image is calculated to perform non-maximum suppression on the image, edge points are detected and connected by using a dual-threshold method, and convex hull detection is used to exclude non-boundary points in the connected region. According to the improved edge detection method provided by the invention, complete and connected image edge information can be accurately and quickly obtained on the basis of traditional image processing hardware, and noise is suppressed while the fineness of image edge details is kept.