Abstract: An image processing device includes an artificial image determining unit configured to determine whether a pixel is in an artificial image by using two or more different determination criteria or conditions based on an input image signal, where the determination criteria include any one or more of a first determination criterion for determining whether the pixel is part of an artificial image by determining whether a predetermined area including the pixel represents a flat area, a second determination criterion for determining whether the pixel is part of an artificial image by determining whether the predetermined area represents a gradation area, or a third determination criterion for determining whether the pixel is part of an artificial image by determining whether the predetermined area represents a color change area.

Abstract: A method includes receiving media data corresponding to a media content item. The method further includes analyzing the media data to determine characteristics of the media content item based on first visual information contained in the media content item. The method further includes analyzing the characteristics of the media content item based on a media popularity model to generate a prediction of whether the media content item is likely to exceed a popularity threshold within a particular period of time. The method further includes determining, at the computing device, a network location at which to store the media content item based on the prediction.

Abstract: The present disclosure relates to an image processing apparatus, an image processing method, and a program which highlight a main object more outstandingly. A tone curve adjustment unit performs tone curve adjustment on a target region of an input image signal (IN), and supplies an image signal subjected to the tone curve adjustment to a local level detection unit. The local level detection unit obtains a local level. A contrast adjustment unit performs adaptive contrast enhancement according to the local level from the local level detection unit. The present disclosure can be applied to an image processing apparatus which highlights a predetermined part of an image using the tone curve adjustment and the adaptive contrast adjustment, for example.

Abstract: Non-destructive collaborative editing may include a node among a plurality of nodes in a distributed collaborative environment receiving an input indicating a change regarding a displayed image. The node may receive another input to finalize the change. In response to the other input, the node may generate a rendition that reflects the change applied to the image without replacing an original version of the image. The rendition may include a thumbnail and a rendered preview of an adjusted version of the image based on the change. In one embodiment, textual information that describes a change regarding an image of a plurality of images may be received from a node of a plurality of nodes in a distributed collaborative environment. The textual information may be stored. Application of the textual information to an image may result in a modified version of the image in addition to the original version.

Abstract: In some implementations, a computer-implemented method for recognizing facial images may include a multi-stage facial verification process to improve the speed and accuracy of a facial recognition operation. For example, a facial recognition module may include multiple stages where a subset of data is analyzed recursively to improve the speed of the facial recognition processes. The multiple stages may be arranged in a fast-to-slow and coarse-to-fine arrangements such that a match decision may be made at each successive stage.

Abstract: A method for applying a filter to data to improve data quality and/or reduce file size. In one example, a region of interest of an image is identified. A histogram is generated of pixel intensity values in the region of interest. The histogram is iteratively updated to focus (zoom) in on the highest peak in the histogram. A Gaussian curve is fitted to the updated histogram. A bilateral filter is applied to the images, where parameters of the bilateral filter are based on the parameters of the Gaussian curve.

Abstract: A system for identifying objects within an image. Disclosed are methods and systems for an image processing system to segment digital images. Generally stated, certain embodiments implement operations for consolidating shapes in a digital image, including: performing a shape identification analysis of pixels within the digital image to identify shapes within the digital image; analyzing each shape to identify attributes of each shape; comparing the identified attributes of each shape to the identified attributes of other shapes to determine if the shapes are sufficiently related to constitute an object; and if the identified attributes are sufficiently related, associating the shapes with each other to form an object.

Abstract: Systems and methods for identifying screenshots within document images. An example method comprises: receiving an image of at least a part of a document; identifying, within the image, a polygonal object having a visually distinct border comprising a plurality of edges of one or more intersecting rectangles; asserting a screenshot image hypothesis with respect to the identified polygonal object; and responsive to evaluating at least one condition associated with one or more attributes of the identified polygonal object, classifying the identified polygonal object as a screenshot image.

Abstract: A capacitive fingerprint sensor includes a plate, a frame, a capacitive fingerprint sensor chip and a package body. The plate comprises a first surface, an opposite second surface and a plurality of first conductive pads arranged on the first surface. A plurality of second conductive pads and third conductive pads are respectively arranged on opposite surfaces of the frame, wherein the second conductive pads are electrically connected with the corresponding first conductive pads and third conductive pads. The capacitive fingerprint sensor chip is disposed at the central area of the frame by a flip chip manner and electrically connected with the first conductive pads. The package body is filled in the central area of the frame to cover the chip. The above-mentioned sensor has a flat sensing surface with wear resistance and better ESD toleration. A package method of the above-mentioned sensor is also disclosed.

Abstract: A method of increasing resolution of an image includes generating vector contours associated with a first image and scaling the vector contours to a second resolution. The first image has a first resolution, and the second resolution is greater than the first resolution. The vector contours are rendered to generate a guiding image at the second resolution, and a second image is generated from the first image based on the guiding image, by using joint upsampling. The second image is generated at the second resolution. The vector contours can be generated by bitmap tracing binary images at different quantization levels. An apparatus and computer readable device implementing the method of increasing the resolution of an image are also provided.

Abstract: A fingerprint sensor having ESD protection has a body and an ESD protection circuit. The body has a fingerprint sensing electrode array and an ESD protection electrode providing an ESD protection to the fingerprint sensing electrode array. The ESD protection circuit is connected respectively to the ESD protection electrode, a high electric potential terminal and a low electric potential terminal. The ESD protection circuit provides a first static electricity discharge path to the high electric potential terminal, and a second static electricity discharge path to the low electric potential terminal. The fingerprint sensor provides two static electricity discharge paths, so that the fingerprint sensor has a better ESD protection.

Abstract: A system for determining a high resolution output image that includes receiving a low resolution image and determining an intermediate high resolution image. The system detects semantic features based upon the input image and selects corresponding semantic components from a database based upon the detected semantic features. The first intermediate high resolution image is modified based upon information from the corresponding semantic components to determine the high resolution output image.

Abstract: The present disclosure relates generally to digital watermarking for retail product packaging. A digital watermark can be carried in different color channels, and at with different signal polarities. Detection can utilize different illumination sources to highlight signal in one or more channels.

Abstract: A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

Abstract: A method for increasing the resolution of a series of low resolution frames of a low resolution video sequence to a series of high resolution frames of a high resolution video sequence includes receiving the series of low resolution frames of the video sequence. The system determines a first plurality of semantically relevant key points of a first low resolution frame of the series of low resolution frames and determines a second plurality of semantically relevant key points of a second low resolution frame of the series of low resolution frames. The system temporally processes the first plurality of key points based upon the second plurality of key points to determine a more temporally consistent set of key points for the first plurality of key points.

Abstract: Images are made of a surface, and images are made of a covering (in the form of a reference object) having a pattern that includes an array of locally non-repetitive pattern elements. A three-dimensional models of the pattern elements on the covering is created using the images. A correlation in scaling between the process of generating three-dimensional models of the pattern elements on the covering and the process of generating a three-dimensional model of the surface is known, and this known correlation in scaling and the known actual distances among pattern elements on the covering can be used as a dimensional scale reference to determine dimensional information of the three-dimensional model of the surface.

Abstract: A method for cutting out, from a gray-scale image generated by capturing an image of a character string, each character in the character string for recognition, includes a first step of repeating projection processing for projecting a highest or lowest gray level in a line along a direction crossing the character string in the gray-scale image, onto an axis along the character string, with the lowest gray level selected when a character in the gray-scale image is darker than a background, the highest gray level selected when the character in the gray-scale image is brighter than the background, and a projection target position moved along the character string.

Abstract: According to various embodiments, a light-field image may be compressed and/or decompressed to facilitate storage, transmission, or other functions related to the light-field image. A light-field image may be captured by a light-field image capture device having an image sensor and a microlens array. The light-field image may be received in a data store. A processor may generate a first refocus image pool with a plurality of refocus images based on the light-field image. The processor may further use the first refocus image pool to compress the light-field image to generate a bitstream, smaller than the light-field image, which is representative of the light-field image. The processor or a different processor may also be used to generate a second refocus image pool with a second plurality of images based on the bitstream. The second refocus image pool may be used to decompress the bitstream to generate a reconstructed light-field image.

Abstract: A method for correcting one or more images of an object (107) from a plurality of images of the object (107), for providing one or more corrected images of the object (107) for further use in a process for generating a representation of the surface of the object, each image of the plurality of images comprising one or more pixels and each pixel comprising a pixel value, wherein one or more illumination sources (104, 105, 106) illuminate the object with different directions of illumination, and each image is associated with a determined direction of illumination, the method comprising the steps of: for each pixel of the plurality of a first image of said plurality of images: a) selecting a pixel in the first image for obtaining the pixel value of the selected pixel; b) selecting at least one corresponding pixel in at least one image of the remaining images of the plurality of images for obtaining the pixel value of the at least one selected corresponding pixel; c) calculating at least one ratio of the pixel va

Abstract: An image processing apparatus includes a region determiner configured to receive image data and perform a region determination by determining whether each of a plurality of sub-pixels included in the image data is included in an in-focusing region that is focused or an out-focusing region that is not focused; and an interpolator configured to perform demosaicing with respect to a sub-pixel included in the in-focusing region by using a first algorithm and perform the demosaicing with respect to a sub-pixel included in the out-focusing region by using a second algorithm, according to a result of the region determination, wherein, when the demosaicing with respect to the sub-pixel included in the in-focusing region is performed, one or more peripheral sub-pixels having phases that are different from a phase of the sub-pixel, on which the demosaicing is performed, are used.