9071 results about "Digital image processing" patented technology

An apparatus for and method of controlling a digital image processing device in order to reduce power consumption by automatically recognizing a state in which power of a display device can be turned off or the display device can operate in a power saving mode, and in that case, turning off the display device or operating the display device in the power saving mode. The apparatus for controlling a digital image processing device includes: a motion sensing unit sensing a motion of the digital image processing device; and a control unit operating the digital image processing device in a power saving mode when it is determined that the digital image processing device moves.

Image analysis techniques, including object recognition analysis, are applied to images obtained by one or more image capture devices deployed within inventory environments. The object recognition analysis provides object recognition data (that may include one or more recognized product instances) based on stored product (training) images. In turn, a variety of functionalities may be enabled based on the object recognition data. For example, a planogram may be extracted and compared to a target planogram, or at least one product display parameter for a product can be determined and used to assess presence of the product within the inventory environment, or to determine compliance of display of the product with a promotional objective. In yet another embodiment, comparisons may be made within a single image or between multiple images over time to detect potential conditions requiring response. In this manner, efficiency and effectiveness of many previously manually-implemented tasks may be improved.

A digital display system consists of an image modulator and multiple light modulators. An image processing system processes an incoming data stream, scans processed data to an image modulator and controls for the light modulators. Other user inputs and sensors are used to affect the processing and controls. The timing for scanning the processed data into the image modulators is controlled along with the intensity and wavelength of the light modulators. The display system may implement a spatial and temporal image processing, digital shutter controls, rolling shutter controls, sequential color output, adaptive dynamic sensor feedback, frame rate matching, motion compensated field sequencing and a variety of other techniques to produce a high quality display output. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

When a shot is taken by a portable terminal, the position and orientation at the time of shooting is transmitted to an information processing apparatus. The information processing apparatus, which stores information including the position of equipment, detects the equipment included in the shot image by the portable terminal, based on the position and orientation of the portable terminal and the position of the equipment, and transmits information about the equipment to the portable terminal. The portable terminal obtains an operation history on an image processing apparatus in the equipment based on the received information, and displays an operation screen presenting the operation history in a selectable manner on a display unit. Then, when a selection of operation history is accepted, a control signal for allowing the image processing apparatus to execute image processing indicated by the operation history is transmitted to the image processing apparatus.

A method of automatic or assisted recomposing of digital image processing uses face detection. Pixels that correspond to a face within a digital image are identified. A re-compositioned image is based on spatial or other parameters of the detected image, particularly in relation to the entire digital image or other portions of the image.

An image processing system including an image processing device and a control device which controls data transfer to said image processing device is provided. When the control device is connected to the image processing device via the network, the control device encrypts the decrypted data and transfers the encrypted data to the image processing device via the network, and when the control device is connected to the image processing device via a leased cable, the control device transfers the decrypted data to the image processing device via the cable.

A projection system uses a transformation matrix to transform a projection image p in such a manner so as to compensate for surface irregularities on a projection surface. The transformation matrix makes use of properties of light transport relating a projector to a camera. A display pipeline of user-supplied image modification processing modules are reduced by first representing the processing modules as multiple, individual matrix operations. All the matrix operations are then combined with, i.e., multiplied to, the transformation matrix to create a modified transformation matrix. The created transformation matrix is then used in place of the original transformation matrix to simultaneously achieve both image transformation and any pre and post image processing defined by the image modification processing modules.

A projection system uses a transformation matrix to transform a projection image p in such a manner so as to compensate for surface irregularities on a projection surface. The transformation matrix makes use of properties of light transport relating a projector to a camera. A display pipeline of user-supplied image modification processing modules are reduced by first representing the processing modules as multiple, individual matrix operations. All the matrix operations are then combined with, i.e., multiplied to, the transformation matrix to create a modified transformation matrix. The created transformation matrix is then used in place of the original transformation matrix to simultaneously achieve both image transformation and any pre and post image processing defined by the image modification processing modules.

A digital image processing method for locating faces in a digital color image includes the steps of: generating a mean grid pattern element (MGPe) image from a plurality of sample face images; generating an integral image from the digital color image; and locating faces in the color digital image by using the integral image to perform a correlation between the mean grid pattern element (MGPe) image and the digital color image at a plurality of effective resolutions by reducing the digital color image to grid pattern element images (GPes) at different effective resolutions and correlating the MGPe with the GPes.

Provided is an image processing system, including a depth calculating section that calculates a depth of an object from a surface of a body, the object existing inside the body; a light receiving section that receives light from the object; and a substance amount calculating section that calculates an amount of a substance, which generates the light received by the light receiving section, inside the object based on the depth of the object calculated by the depth calculating section and an amount of light received by the light receiving section.

In an image processing system including an image forming apparatus and one or more service providers connected to the Internet, functions available in the image forming apparatus of a user and functions provided by the service providers on the Internet are displayed on an operation control screen such that the user can select an arbitrary function and specify operation conditions of the selected function via the operation unit. A controller of the image forming apparatus acquires information indicating the functions provided by the service providers, and selectively displays first-type functions indicated by the acquired information and / or second-type functions executable by the image forming apparatus.

There is provided a method for processing a digital image for noise suppression and sharpness enhancement, comprising the steps of performing a sharpness enhancing process on original image data to create sharpness enhanced image data; performing a smoothing process on the original image data to create smoothed image data; subtracting the smoothed image data from the sharpness enhanced image data to create first edge / grain composite image data; performing an edge detection to determine an edge intensity data; using the edge intensity data to determine grainy fluctuation compressing coefficient data for compressing amplitude of an grainy fluctuation component in the grainy region; multiplying the first edge / grain composite image data by the grainy fluctuation compressing coefficient data to compress only the grainy fluctuation component in the grainy region, and to thereby create second edge / grain composite image data; and adding the second edge / grain composite image data to the smoothed image data to thereby create an processed image. There is also provided an image processing apparatus for implementing the above method. An improvement is thus achieved in both graininess and sharpness without causing any artificiality and oddities due to "blurry graininess".

A novel mechanism for simultaneous multiple signal reception and transmission using frequency multiplexing and shared processing. Multiple RF signals, which may be of various wireless standards, are received using one or more shared processing blocks thereby significantly reducing chip space and power requirements. Shared components include local oscillators, analog to digital converters, digital RX processing and digital baseband processing. In operation, multiple RX front end circuits, one for each desired wireless signal, generate a plurality of IF signals that are frequency multiplexed and combined to create a single combined IF signal. The combined IF signal is processed by a shared processing block. Digital baseband processing is performed on each receive signal to generate respective data outputs. Further, simultaneous full-duplex transmission and reception is performed using a single local oscillator. The phase / frequency modulation of the frequency synthesizer used in the TX is removed from the local oscillator signal for use in the receiver.

An image processing apparatus assumes the characteristic of a virtual image sensing optical system, and applies a blur effect corresponding to an in-focus state to a captured image. An image input unit captures image information including distance information to each portion of an object to be photographed. A parameter input unit inputs a parameter from which the effective aperture and focal length of the assumed image sensing optical system can be derived. An in-focal pint position designation unit designates the in-focal pint position of the assumed image sensing optical system. A blur state calculation unit calculates a blur state from the distance information input by the image input unit, the in-focal pint position designated by the in-focal pint position designation unit, and the parameter input by the parameter input unit. An image processing unit applies the blur effect to the image input by the image input unit in correspondence with the blur state calculated by the blur state calculation unit.

A digital image processing technique detects and corrects visual imperfections using a reference image. A main image and one or more reference images having a temporal and / or spatial overlap and / or proximity with the original image are captured. Device information, image data and / or meta data are analyzed of the one or more reference images relating to a defect in the main image. The device corrects the defect based on the information, image data and / or meta-data to create an enhanced version of the main image.

An apparatus and a method for processing checks and other negotiable instruments efficiently captures MICR data required for electronic payment and an image of the check or negotiable instrument enabling the amount, payee, and other information printed or written on the check face to be clearly read. The image reading unit 11 of the check processing apparatus 110 scans and outputs a gray scale image of the check. A threshold value determination unit 12 sets a threshold value for digitizing the image data based on the density level frequency distribution of primary gray scale image data obtained by the image data reading unit scanning a first scanning area T. This first scanning area contains part of a printed text area 127 where text is printed on the negotiable instrument and part of the background 49 of the negotiable instrument. A digital image processor 20 digitizes and converts secondary gray scale image data to digital image data based on the threshold value set by the threshold value determination unit 12. The secondary gray scale image data is generated by the image reading unit 11 scanning a predefined second scanning area of the negotiable instrument.

A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values.

Identifying objects in images is a difficult problem, particularly in cases an original image is noisy or has areas narrow in color or grayscale gradient. A technique employing a convolutional network has been identified to identify objects in such images in an automated and rapid manner. One example embodiment trains a convolutional network including multiple layers of filters. The filters are trained by learning and are arranged in successive layers and produce images having at least a same resolution as an original image. The filters are trained as a function of the original image or a desired image labeling; the image labels of objects identified in the original image are reported and may be used for segmentation. The technique can be applied to images of neural circuitry or electron microscopy, for example. The same technique can also be applied to correction of photographs or videos.

A digital image processing method detects facial features in a digital image. This method includes the steps of detecting iris pixels in the image, clustering the iris pixels, and selecting at least one of the following schemes to identify eye positions: applying geometric reasoning to detect eye positions using the iris pixel clusters; applying a summation of squared difference method using the iris pixel clusters to detect eye positions; and applying a summation of squared difference method to detect eye positions from the pixels in the image. The method applied to identify eye positions is selected on the basis of the number of iris pixel clusters, and the facial features are located using the identified eye positions.