9600 results about "Image manipulation" patented technology

The present invention provides methods for determining a nucleic acid sequence by performing successive cycles of duplex extension along a single stranded template. The cycles comprise steps of extension, ligation, and, preferably, cleavage. In certain embodiments the methods make use of extension probes containing phosphorothiolate linkages and employ agents appropriate to cleave such linkages. In certain embodiments the methods make use of extension probes containing an abasic residue or a damaged base and employ agents appropriate to cleave linkages between a nucleoside and an abasic residue and/or agents appropriate to remove a damaged base from a nucleic acid. The invention provides methods of determining information about a sequence using at least two distinguishably labeled probe families. In certain embodiments the methods acquire less than 2 bits of information from each of a plurality of nucleotides in the template in each cycle. In certain embodiments the sequencing reactions are performed on templates attached to beads, which are immobilized in or on a semi-solid support. The invention further provides sets of labeled extension probes containing phosphorothiolate linkages or trigger residues that are suitable for use in the method. In addition, the invention includes performing multiple sequencing reactions on a single template by removing initializing oligonucleotides and extended strands and performing subsequent reactions using different initializing oligonucleotides. The invention further provides efficient methods for preparing templates, particularly for performing sequencing multiple different templates in parallel. The invention also provides methods for performing ligation and cleavage. The invention also provides new libraries of nucleic acid fragments containing paired tags, and methods of preparing microparticles having multiple different templates (e.g., containing paired tags) attached thereto and of sequencing the templates individually. The invention also provides automated sequencing systems, flow cells, image processing methods, and computer-readable media that store computer-executable instructions (e.g., to perform the image-processing methods) and/or sequence information. In certain embodiments the sequence information is stored in a database.

A method and system for acquiring, processing, storing, and displaying x-ray mammograms Mp tomosynthesis images Tr representative of breast slices, and x-ray tomosynthesis projection images Tp taken at different angles to a breast, where the Tr images are reconstructed from Tp images

Exemplary embodiments of methods and apparatuses to dynamically redistribute computational processes in a system that includes a plurality of processing units are described. The power consumption, the performance, and the power/performance value are determined for various computational processes between a plurality of subsystems where each of the subsystems is capable of performing the computational processes. The computational processes are exemplarily graphics rendering process, image processing process, signal processing process, Bayer decoding process, or video decoding process, which can be performed by a central processing unit, a graphics processing units or a digital signal processing unit. In one embodiment, the distribution of computational processes between capable subsystems is based on a power setting, a performance setting, a dynamic setting or a value setting.

An image processing apparatus includes a motion prediction processor configured to detect a motion vector that indicates inter-image motion between a current image and a reference image; a motion compensation processor configured to perform a motion compensation process for the reference image by using the motion vector and generate a motion compensated image; an addition processor configured to generate a noise reduced image in which noise of the current image is reduced by adding the current image and the motion compensated image; an addition determination unit configured to compute an addition weight in units of pixels of the motion compensated image; a down-sampling processor configured to perform a process for reducing the current image and the motion compensated image; and an up-sampling processor configured to perform a process for expanding an addition coefficient map that is an output of the addition determination unit.

The invention discloses a human-computer interaction method and a device based on vision follow-up and gesture identification. The method comprises the following steps of: facial area detection, hand area detection, eye location, fingertip location, screen location and gesture identification. A straight line is determined between an eye and a fingertip; the position where the straight line intersects with the screen is transformed into the logic coordinate of the mouse on the screen, and simultaneously the clicking operation of the mouse is simulated by judging the pressing action of the finger. The device comprises an image collection module, an image processing module and a wireless transmission module. First, the image of a user is collected at real time by a camera and then analyzed and processed by using an image processing algorithm to transform positions the user points to the screen and gesture changes into logic coordinates and control orders of the computer on the screen; and then the processing results are transmitted to the computer through the wireless transmission module. The invention provides a natural, intuitive and simple human-computer interaction method, which can realize remote operation of computers.

Some embodiments of the invention provide a mobile device that captures and produces images with high dynamic ranges. To capture and produce a high dynamic range image, the mobile device of some embodiments includes novel image capture and processing modules. In some embodiments, the mobile device produces a high dynamic range (HDR) image by (1) having its image capture module rapidly capture a succession of images at different image exposure durations, and (2) having its image processing module composite these images to produce the HDR image.

Some embodiments provide an image editing application that edits an image. The image editing application assigns a mask value to each pixel of the image that includes several pixels. The mask value for a pixel is for using when processing the pixel. The image editing application displays the image in a display area. The image editing application receives several user inputs on a set of pixels of the image. The image editing application incrementally applies an image processing operation to the set of pixels by changing the mask values for the set of pixels each time the set of pixels receives a user input.

Apparatus and methods for detecting salient features. In one implementation, an image processing apparatus utilizes latency coding and a spiking neuron network to encode image brightness into spike latency. The spike latency is compared to a saliency window in order to detect early responding neurons. Salient features of the image are associated with the early responding neurons. A dedicated inhibitory neuron receives salient feature indication and provides inhibitory signal to the remaining neurons within the network. The inhibition signal reduces probability of responses by the remaining neurons thereby facilitating salient feature detection within the image by the network. Salient feature detection can be used for example for image compression, background removal and content distribution.

Disclosed is a photometer that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building's automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.

The present invention is an apparatus and method for processing and manipulating one or more video images for use in a video conference. An exemplary embodiment of the present invention is a video conference endpoint including an image sensor to generate an image, and a controller configured to translate a portion of the image by one or more pixels in response to a translation control signal. The controller is configured to increase a number of a pixel cells associated with the portion of the image in response to a zoom-out control signal, and to decrease the number of the pixel cells associated with the portion of the image in response to a zoom-in control signal.

The invention belongs to the technical field of remote sensing image processing, and particularly relates to a remote sensing image building change detection method, which comprises the following operation steps: (1) reading an image and preprocessing the image; (2) making a sample data set; (3) constructing a network model based on an attention mechanism and a feature pyramid; (4) selecting a training sample to train the network model; (5) selecting a verification sample to verify the network model; and (6) classifying by using the trained model, and outputting a final change detection result. According to the method, a feature pyramid network is introduced, an attention mechanism is used in the multi-scale feature fusion process of all levels, and features are enhanced layer by layer tobe used for target detection of different scales; through application of deformable convolution and cavity convolution, the network obtains the feature expression capability of automatically adaptingto object deformation, the feature size is reserved while the receptive field is expanded, multi-scale information is obtained, the false alarm rate is effectively reduced, and the detection precisionis improved.

The image coding apparatus according to the present invention includes: a similar image search unit 201 which searches at least one second still image which is similar to a first still image; a coding processing unit 202 which generates a predictive image for the first still image using the at least one second still image as the reference image, and codes the difference between the first still image and the predictive image; and a reference image information processing unit 204 which adds information which indicates the location of at least one of the second still image to the bit stream.

An audio/video production system facilitates professional quality image manipulation and editing using an enhanced general-purpose hardware. A program input may be translated into any of a variety of graphics or television formats, including NTSC, PAL, SECAM and HDTV, and stored as data-compressed images, using any of several commercially available methods such as Motion JPEG, MPEG, etc. While being processed, the images may be re-sized to produce a desired aspect ratio or dimensions using conventional techniques such as pixel interpolation. Frame rate conversion to and from conventional formats is performed by using the techniques employed for film-to-NTSC and film-to-PAL transfers, or by inter-frame interpolation, all well known in the art. By judicious selection of the optimal digitizing parameters, the system allows a user to establish an interrelated family of aspect ratios, resolutions, and frame rates, yet remain compatible with currently available and planned graphics and television formats.

A fingerprint detection apparatus has a fingerprint sensor (10), which produces a sequence of at least partially overlapping fingerprint frames (13), when a finger (11) is moved in relation to the fingerprint sensor. The apparatus also has a processing device, which is coupled to the fingerprint sensor and produces a complete fingerprint image (14) by computing a relative displacement between respective fingerprint frames and combining the fingerprint frames accordingly. The processing device determines the relative displacement between a first fingerprint frame and a second fingerprint frame by selecting a plurality of subareas in the first fingerprint frame. For each subarea, a respective correlation with the second fingerprint frame is determined. Then a linear combination of the respective correlations is computed, and finally, from the computed linear combination, the relative displacement is determined.

A method, computer-readable medium and system for manipulating image data are disclosed. A method of manipulating image data includes accessing first image data configured for display using a first display device. Information associated with a manipulation of the first image data is accessed. Second image data is generated from the first image data using the information, wherein the second image data is configured for display using a second display device.

Apparatus and methods for learning in response to temporally-proximate features. In one implementation, an image processing apparatus utilizes bi-modal spike timing dependent plasticity in a spiking neuron network. Based on a response by the neuron to a frame of input, the bi-modal plasticity mechanism is used to depress synaptic connections delivering the present input frame and to potentiate synaptic connections delivering previous and/or subsequent frames of input. The depression of near-contemporaneous input prevents the creation of a positive feedback loop and provides a mechanism for network response normalization.

An image processing apparatus of the invention generates one still image having a high pixel density from multiple images. The image processing apparatus includes: an image extraction module that extracts the multiple images used for generation of the one still image; a deviation computation module that computes a degree of deviation between each combination of the extracted multiple images; an exclusion module that excludes any image having the computed degree of deviation out of a preset threshold range from the extracted multiple images; and an image composition module that combines remaining images other than the excluded image to generate the one still image. This arrangement of the invention ensures efficient image processing to generate one high-resolution still image from multiple images.

A technique for correcting white eye in image data is disclosed. In this technique, a white eye candidate pixel is detected from an eye extracted from the image data based on a predetermined detection condition. The white eye candidate pixel as a white eye pixel based on a predetermined determination condition. Then, white eye correction is effected on the determined white eye pixel by changing its luminance.