3068 results about "Image correction" patented technology

A capturing unit captures and digitizes a printed image having an electronic watermark embedded therein and a lattice pattern image. A profile creation unit detects position deviations of intersections in the lattice pattern images captured at respective different zoom magnifications, generates correction information on distortion occurring in the images, and registers the correction information into a profile database in association with the zoom magnifications. An image correction unit selects correction information corresponding to a zoom magnification employed at the time of capturing of the printed image from the profile database, and corrects distortion occurring in the captured image of the printed image. An image area determination unit determines an original image area in the distortion-corrected captured image. A watermark extraction unit extracts watermark information from the original image area in the distortion-corrected captured image.

The invention discloses a binocular stereo vision based intelligent three-dimensional human face rebuilding method and a system; the method comprises: preprocessing operations including image normalization, brightness normalization and image correction are carried out to a human face image; a human face area in the human face image which is preprocessed is obtained and human face characteristic points are extracted; the object is rebuilt by projection matrix, so as to obtain internal and external parameters of a vidicon; based on the human face characteristic points, gray level cross-correlation matching operators are expanded to color information, and a parallax image generated by stereo matching is calculated according to information including polar line restraining, human face area restraining and human face geometric conditions; a three-dimensional coordinate of a human face spatial hashing point cloud is calculated according to the vidicon calibration result and the parallax image generated by stereo matching, so as to generate a three-dimensional human face model. By adopting the steps, more smooth and vivid three-dimensional human face model is rebuilt in the invention.

A system to perform modifications, or adjustments, to a digital image includes an interface component to receive selection input to enable selection of the digital data to be modified. A detector then detects a characteristic of the digital data. A configurator automatically configures a function, supported by a data modification component, to modify the digital data. The automatic configuration of the function is performed using the detected characteristic of the digital data to be modified.

The invention discloses a method for synthesizing annular video of 360 degrees for assistant drive of a vehicle. The method adopts a video acquisition unit, an annular video synthesis unit and a display control and storage unit, and has the characteristics of reliable stability, low cost and suitable batch production. The method can acquire video signals in real time for four super-wide-angle fish-eye cameras arranged at front, back, left and right of the vehicle, carries out treatment of fish-eye image correction, annular image mosaic and vision angle conversion on four channels of the video signals through a video decoding unit and a video synthesizing control unit to generate a panoramic displayed plan view of 360 degrees, achieves multiple display modes through the display control and storage unit, and can selectively store correlated video information. The method can provide surrounding scenes for a driver, and eliminate vision blind area thereof, and is favorable for the driver to achieve safe and accurate vehicle driving operations. The method is used for assistant drive for sedans, business vehicles and heavy trucks of various grades, and passenger coaches of different types.

The invention discloses a method for acquiring a range image by stereo matching of multi-aperture photographing based on color segmentation. The method comprises the following steps of: (1) carrying out image correction on all input images; (2) carrying out the color segmentation on a reference image, and extracting an area with consistent color in the reference image; (3) respectively carrying out local window matching on the multiple input images to obtain multiple parallax images; (4) removing mismatched points which are generated during the matching by applying a bilateral matching strategy; (5) synthesizing the multiple parallax images into a parallax image, and filling parallax information of the mismatched points; (6) carrying out post-treatment optimization on the parallax image to obtain a dense parallax image; and (7) converting the parallax image into a range image according to the relationship between parallax and depth. By acquiring range information from multiple viewpoint images and utilizing image information provided by the multiple viewpoint images, the invention can not only solve the problem of mismatching brought by periodic repetitive textural features and shelter and the like in the images, but also can improve matching precision and obtain an accurate range image.

The present invention includes a foveated wide-angle imaging system and method for capturing a wide-angle image and for viewing the captured wide-angle image in real time. In general, the foveated wide-angle imaging system includes a foveated wide-angle camera system having multiple cameras for capturing a scene and outputting raw output images, a foveated wide-angle stitching system for generating a stitch table, and a real-time wide-angle image correction system that creates a composed warp table from the stitch table and processes the raw output images using the composed warp table to correct distortion and perception problems. The foveated wide-angle imaging method includes using a foveated wide-angle camera system to capture a plurality of raw output images, generating a composed warp table, and processing the plurality of raw output images using the composed warp table to generate a corrected wide-angle image for viewing.

Methods and computer program products for quantitative three-dimensional (“3D”) image correction in optical coherence tomography. Using the methods and computer program products, index interface (refracting) surfaces from the raw optical coherence tomography (“OCT”) dataset from an OCT system can be segmented. Normal vectors or partial derivatives of the curvature at a refracting surface can be calculated to obtain a refracted image voxel. A new position of each desired refracted image voxel can be iteratively computed. New refracted corrected voxel positions to an even sampling grid can be interpolated to provide corrected image data. In some embodiments, clinical outputs from the corrected image data can be computed.

The invention discloses a panoramic parking assist system, which is a technique applied to the fields of automotive electronics and auto safety driving assistance. The system comprises a camera input module, an image correction module, a bird-eye perspective module, an image mosaicking module, a histogram equalization module and an image display module. The system is used for effectively solving the problem of car crash accidents caused by that the driver can not fully observe the situations around the car in the process of parking. By using the system, a 360-degree top view around a car bodyin real time can be showed for the drivers, so that the drivers can clearly see the relative positions of obstacles around the car body and the distances between the obstacles and the car body; and the blind visual areas around the car body can be eliminated so as to improve the security and stability of car in the process of parking. Through integrating a plurality of machine vision and digital image processing algorithms and fusing a plurality of advanced techniques in the field of machine vision, and based on the advantages of low cost, high performance, strong portability and the like, the system is convenient to be popularized and applied widely.

A projector assembly and method for automatically correcting keystone distortion includes an image correction engine, a light engine, a projection lens having a projection axis, a processor, a directional sensor and an inclination sensor. The sensors determine the absolute vertical and horizontal direction of the projection axis. The inclination sensor determines the vertical zero reference. The direction sensor is used to determine the horizontal zero reference. The processor calculates vertical and horizontal difference angles between the absolute directions and zero reference values in the vertical and horizontal directions. Using difference angles, the processor calculates the keystone distortion and instructs the image correction engine to apply geometric and brightness correction to the image data proportional and inverse to the keystone distortion and lens parameters (field of view, focal length, imperfections, etc) such that the image projected onto a viewing screen, is free from keystone distortion.

The present invention discloses a remote network management system for coupling a series of remote serial devices, servers, and computers to one or more user workstations allowing for selective access of the remote devices. The remote serial devices, servers, and computers are all connected to a remote management unit which interfaces the user workstations to the remote devices. The power supply of each remote device is also connected to the remote management unit through a controllable power supply. The video from the remote networking equipment is digitized and optimized by an LCD controller located within the remote management unit before it is compressed for transmission. An option menu containing a menu of all the remote devices allows a user to select and operate any of the remote devices. The option menu is also utilizes to selectively control the power to the remote serial devices, servers, and computers.

A three-dimensional image correction device includes when a displacement amount which is a difference between a convergence angle on a display surface and a convergence angle on a perceived three-dimensional surface based on image information for a three-dimensional image is set as a disparity amount, a width of a depth amount represented by pop-up and pull-in of the three-dimensional image is set as a dynamic range, and display device specification information is set as display device information, a disparity amount detection unit for inputting the image information to detect the disparity amount from the image information, a correction computation unit for adjusting the detected disparity amount on the basis of the display device information to correct the dynamic range, and a disparity amount correction unit for correcting the disparity amount in the corrected dynamic range while corresponding to the display device information.

An original pupil color of a subject person in an image in which an abnormality such as a red-eye or gold-eye occurs is estimated. Further, whether an image correction is required or not and to produce an image having a natural pupil color in the image correction by estimating the original pupil color from the image is judged. A pupil color estimating device has a skin color of a subject person specified from an inputted image, regardless of whether an abnormality such as a red-eye or gold-eye occurs. This skin color is substituted in an approximate equation based upon a statistical result carried out in advance, and thereby a normal color component of a pupil is estimated from the skin color of the subject person.

An image processing system uses centralized image correction data to process digital images. The image processing system includes a centralized database for storing image correction data for imaging devices. An image processor that receives image data representing an image captured by one of the imaging devices accesses the centralized database with a key associated with the imaging device to retrieve the image correction data for the imaging device. The image processor processes the image data using the retrieved image correction data to correct the image data by reducing various noise components in the image.

The invention discloses a fast 3D face identifying method based on double-eye passive solid sight, which includes the following steps: 1) a non-contact short shaft parallel binocular stereo vision system is built by applying two high-definition digital cameras; 2) after system calibration is finished, face detection and collection based on a haar-AdaBoost sorting machine is carried out on a preview frame image for obtaining corresponding upper and lower stereoscopic vision graph pairs and estimating a sight difference; image correction is carried out on a face area for obtaining the upper and lower stereoscopic vision graph pairs vertical to the polar lines inside and outside the area; 3) the accurate location on the eyes and a spex nasi is captured by applying a Bayesian and the haar-AdaBoost sorting machines as well as point cloud 3D information for building a benchmark triangle; 4) the corresponding sub pixels in the middle and small areas are matched by applying the pyramidal parallel search solid graph of a phase relevant arithmetic based on a complex wavelet; 5) pose normalizing and hole filling are carried out on the faces under different poses by applying the built benchmark triangle; 6) expression normalization is carried out on different faces based on the suppose that the surface geodesic distance of the face is invariable; 7) the 3D faces after normalization are identified by utilizing the arithmetic. The method has the beneficial effects of: mainly solving the problems of being hard to fast and automatically obtain the passive stereoscopic vision and identifying the 3D point cloud information of the dense and accurate face under different poses and expressions, thus leading the 3D face identifying process to be faster, more hidden, safer and more reliable.

An image correction apparatus 1 includes an image input device 3, a memory device 4, a central processing unit 2, and and image output device 5. In the image correction apparatus 1, a locally wrinkled document or a document with a binding portion lifted differently between the top and bottom of the document is read from the image input device 3 and, using a program which is run on the central processing unit 2, an input image is corrected for the geometric distortion and luminance variations caused due to the upper and lower sides of the document making a slope with respect to a document platen, and thereby, a flat document image is restored.

Systems, including apparatus and methods, for obtaining and/or correcting images, particularly from atmospheric and/or other distortions. These corrections may involve, among others, determining corrective information in a first (e.g., visible) wavelength regime, and then applying the corrective information in a second (e.g., longer) wavelength regime, such as infrared (IR) or millimeter-wave (MMW) wavelengths, in real time or with post-processing. For example, these corrections may include scaling a phase diversity correction from one wavelength to another. These systems may be useful in any suitable imaging context, including navigation, targeting, search and rescue, law enforcement, and/or surveillance, among others.

Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects, wherein each drawer is associated with an identifier with known color attributes; and an image sensing device configured to capture an image of one of the storage drawers along with the associated identifier. A data storage device of the system stores, for each storage drawer, information of the known color attributes of the associated identifier. A data processor of the system is configured to access information of the known color attributes of the identifier associated with the drawer corresponding to the captured image; determine color attributes of the identifier in the captured image; determine a correction factor based on the color attributes of the identifier in the captured image and the known color attributes of the identifier; and apply the correction factor to subsequent images captured by the image sensing device.

An image processing apparatus and an image processing method are disclosed by which an image correction process for a false color such as a purple fringe can be executed efficiently while excessive reduction of the saturation is prevented to produce image data of a high quality. A saturation reduction rate corresponding to each pixel is calculated, and saturation reduction of the pixel is executed based on the saturation reduction rate. Then, saturation correction is executed so that the difference between the hue of the pixel whose saturation has been reduced and a surrounding reference pixel may be reduced. Further, a surrounding pixel to be referred to in the saturation correction process is selected along a scanning line.