Abstract: Provided is a transmitting apparatus including an image obtaining unit configured to obtain image data having pixel information including color information and having a first resolution, an image conversion unit configured to delete the color information of at least a portion of pixels of the obtained image data, to rearrange the pixel information of a plurality of pixels, and to convert the image data having the first resolution into image data having a second resolution lower than the first resolution, and an output unit configured to output, to a transmitter, the image data whose resolution has been converted from the first resolution into the second resolution by the image conversion unit, the transmitter having a maximum resolution of image data which the transmitter is allowed to wirelessly transmit to a receiving apparatus, the maximum resolution being the second resolution.

Abstract: The image processing apparatus performs region designation with respect to a displayed image. The image processing apparatus comprises a display unit configured to display an image constituted by a predetermined number of pixels, an input unit configured to receive a selection operation with respect to the image, a control unit, and a storage unit. The control unit generates a plurality of divided regions acquired by dividing the image in accordance with similarity calculated based on pixel values and pixel locations. Each time a divided region among the plurality of divided regions is selected according to the selection operation received by the input unit, the control unit stores identification information of the selected divided region in the storage unit in association with a selection order of selecting the divided region. The control unit displays the divided region corresponding to the stored identification information on the display unit in an identifiable manner.

Abstract: An image processing device includes: an image acquiring unit for acquiring an image containing pixels; a picture searching unit for searching for a picture region in the image; a background acquiring unit for performing a background connected region acquiring operation on a non-picture region of the image in which the picture region is not included and the picture region respectively, to obtain a non-picture background connected region and a picture background connected region respectively; a foreground acquiring unit for removing the non-picture background connected region and the picture background connected region from the non-picture region and the picture region respectively, to obtain a non-picture foreground region of the non-picture region and a picture foreground region of the picture region respectively; and a merging unit for merging the non-picture foreground region of the non-picture region and the picture foreground region of the picture region to obtain an ultimate image foreground region.

Abstract: A reference color selection device includes a determination unit that compares a first and second magnitudes of a first second candidate colors with respect plural wavelengths and determines whether or not there is any wavelength that provides a reverse magnitude relationship between the first and second magnitudes reverse to a magnitude relationship at other wavelengths, the first and second candidate colors being included in a color group of reference colors used in color correction of a target color; and a selection unit that selects the color group as the reference colors when there is not a combination of the first and second candidate colors about which the determination unit determines that there is the wavelength that provides the reverse magnitude relationship in the color group to be the candidates of the reference colors.

Abstract: Aspects of the present disclosure relate to image segmentation for data verification. A method of the disclosure comprises: receiving, using a processing device, an image of at least a part of a document; identifying a first image region in the image that corresponds to data to be verified by a user; extracting data from the image of at least the part of the document partitioning the image into a plurality of image segments based on positioning information related to the first image region, wherein the plurality of image segments comprises a first image segment and a second image segment, and wherein the second image segment comprises the first image region; and presenting data extracted from the first image region in association with the first image segment and the second image segment.

Abstract: In one example embodiment, a device includes an object detector configured to: rotate an image multiple times in increments of a predetermined number of degrees, detect upright occurrences of at least one object from the image at each incremental rotation of the image, and divide the detected occurrences of the at least one detected object, at each incremental rotation of the image, into a corresponding classification; and a direction manager configured to: determine a normal direction of the image, based on a number of detected occurrences of the at least one detected object, at each incremental rotation of the image, for each corresponding classification.

Abstract: A method for reducing a linear artifact in a medical image. The method includes identifying, in the medical image, a region occupied by the linear artifact and isolating, in the region, a signal intensity component attributed to the linear artifact from an overall signal intensity of the region. The method further includes obtaining a corrected signal intensity by subtracting, in the region, the signal intensity component attributed to the linear artifact from the overall signal intensity of the region, and, after obtaining the corrected signal intensity, correcting a contrast in the region to match the contrast in surrounding regions.

Abstract: A boundary determination system for determining boundaries of features in a digital image is provided. The boundary determination system includes a processor coupled to a memory. The processor is configured to analyze a spectral content and a spatial structure of a feature in a digital image, characterize the feature in the digital image, and distinguish the feature from immediate surroundings of the feature in the digital image.

Abstract: A method for attenuating banding in image data may involve receiving a stream of input pixels. The method may then include applying a bi-lateral filter to a first portion of the stream of input pixels to generate a first filtered output and applying a high pass filter to a second portion of the stream of input pixels to generate a second filtered output. The method may then determine a local activity and a local intensity associated with the first portion of the stream. The method may then include blending the first filtered output with the first portion of the stream of input pixels based at least in part on the local activity and the local intensity to generate a third filtered output. Afterward, the method may combine the third filtered output with the second filtered output to generate a fourth filtered output that may be output as the image data.

Abstract: An information processing apparatus may include a memory storing instructions and at least one processor configured to process the instructions to receive an input image. The input image includes either a first image or a provisional image created by iteratively image processing the first image. The instructions further provide for the processor to calculate a local variation of a focused pixel in the input image based on a difference in pixel value between the focused pixel and a surrounding pixel of the focused pixel, to calculate a filter coefficient for suppressing a variation between neighboring pixels in the input image based on the local variation, to create a degraded image by degrading the input image, to calculate a reconfiguration error between the input image and the degraded image, and to create the provisional image based on the filter coefficient and the reconfiguration error.

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: An approach to detecting objects in an image dataset may combine texture/color detection, shape/contour detection, and/or motion detection using sparse, generative, hierarchical models with lateral and top-down connections. A first independent representation of objects in an image dataset may be produced using a color/texture detection algorithm. A second independent representation of objects in the image dataset may be produced using a shape/contour detection algorithm. A third independent representation of objects in the image dataset may be produced using a motion detection algorithm. The first, second, and third independent representations may then be combined into a single coherent output using a combinatorial algorithm.

Abstract: A method to transmit images of a video sequence over a transmission channel between a transmitter and a receiver of a communication network, the image being composed of several image areas, the method for an image to be transmitted including: identifying image areas of a first type in the image; identifying image areas of a second type in the image; determining a transmission rate for transmission of the image to the receiver as a function of the number of first-type image areas compared with the number of second-type image areas; selecting a coding scheme for each image area as a function of area type; modifying the coding parameters as a function of the determined transmission rate; encoding the image areas by applying the selected coding scheme and the modified coding parameters; and transmitting the image areas at the determined transmission rate. Improved image quality is thus obtained.

Abstract: Methods for differential image quality enhancement for a detection system including multiple electromagnetic radiation detectors which include obtaining an image from a chemical band electromagnetic radiation detector and an image from a reference band electromagnetic radiation detector. Each of the images includes a plurality of pixels, each pixel having an associated intensity value. One or more intensity values of a plurality of pixels from the reference band image are adjusted based on one or more intensity value parameters of the chemical band image.

Abstract: Techniques for compressing images based on context are provided. A first image and a second image may be identified for display on a client device. One or more contexts of the first image may be identified. One or more contexts of the second image may be identified. A first image quality for the first image may be determined based on the one or more contexts of the first image. A second image quality for the second image may be determined based on the one or more contexts of the second image. The first image may be compressed at the first image quality and the second image at the second image quality. The compressed first image and the compressed second image may be transmitted to the client device.

Abstract: An image segmentation method includes displaying, through a display component, an image; receiving, through a user input component, a user command relative to an original designation region of the image; shrinking the original designation region according to first depth information corresponding to the image to generate a shrunk designation region of the image; generating a plurality of seeds according to the shrunk designation region and the user command; and segmenting the image according to the seeds to obtain at least one segmented region.

Abstract: A free-hand inspection apparatus for non-destructively inspecting a structure includes an array and an inertial sensor. The array includes a plurality of elements for transmitting and receiving inspection signals to/from a structure being inspected. The inertial sensor measures acceleration and angular rotation rate in three dimensions. A frame with a unique physical pattern on its edges, which are detectable by the system, is provided. In one embodiment, the frame comprises a special appliqué including a plastic sheet that has periodic edge features, or markings. The markings are detectable by the sensor and allow the system to correct the measurement distortions caused by the inertial sensors used for positioning while making scans. A computer-based process is provided to correct for drift when the sensor encounters one of these markings, thereby solving the problem of error accumulation and the resulting position inaccuracy.

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: Provided is an image processing device including a rearrangement processing unit configured to rearrange compressed image data, which is compressed by performing a wavelet transform, quantization in a predetermined unit that is based on a reference unit, and variable length encoding on image data, in wavelet levels in a frame unit.

Abstract: Embodiments disclosed facilitate robust, accurate, and reliable recovery of words and/or characters in the presence of non-uniform lighting and/or shadows. In some embodiments, a method to recover text from image may comprise: expanding a Maximally Stable Extremal Region (MSER) in an image, the neighborhood comprising a plurality of sub-blocks; thresholding a subset of the plurality of sub-blocks in the neighborhood, the subset comprising sub-blocks with text, wherein each sub-block in the subset is thresholded using a corresponding threshold associated with the sub-block; and obtaining a thresholded neighborhood.