Abstract: An image processing device and an image processing method thereof are provided. The image processing device uses feature points of an image to calculate weights of endpoints of straight lines in the image, and determines coordinates of the endpoints of the straight lines after image morphing. The image processing device further uses the transformed coordinates of the endpoints of the straight lines to calculate corresponding coordinates of points of the straight lines. The image processing device further uses orthogonal relation between coordinates of image points and the coordinates of points of the straight lines to add feature points, and calculates coordinates of the image points after image morphing.

Abstract: Edge enhancement processing is performed for the luminance of each pixel of an image, and the correction value of the pixel after the edge enhancement processing is decided according to the saturation of each pixel of the image. The value of the pixel after the edge enhancement processing is corrected using the decided correction value.

Abstract: The present invention is directed to an image information decoding apparatus adapted for performing intra-image decoding based on resolution of color components and color space of an input image signal. An intra prediction unit serves to adaptively change block size in generating a prediction image based on a chroma format signal indicating whether resolution of color components is one of 4:2:0 format, 4:2:2 format, and 4:4:4 format, and a color space signal indicating whether color space is one of YCbCr, RGB, and XYZ. An inverse orthogonal transform unit and an inverse quantization unit serve to also change orthogonal transform technique and quantization technique in accordance with the chroma format signal and the color space signal. A decoding unit decodes the chroma format signal and the color space signal to generate a prediction image corresponding to the chroma format signal and the color space signal.

Abstract: This invention makes it possible to detect only a relatively large mismatch while allowing a mismatch to some extent between an LDR image and HDR information, which are stored in a single file, caused by editing of the LDR image. An apparatus of this invention generates, from an input HDR image, an LDR image and difference information representing a difference between the LDR image and the HDR image. The generated LDR image is encoded. Information formed from data representing a local feature of the LDR image is calculated as LDR meta-data. The apparatus generates a file by storing the encoded data in a main encoded data storage region and storing the difference information and the LDR meta-data in a marker defined as a non-reference region for an LDR image decoding apparatus in the file structure.

Abstract: Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. Bounding boxes are determined for a set foreground patches identified in a video frame. For each bounding box, the techniques include determining textures for first areas, each including a foreground pixel and surrounding pixels, and determining textures for second areas including pixels of the background model image corresponding to the pixels of the foreground areas. Further, for each foreground pixel in the bounding box area, a correlation score is determined based on the texture of the corresponding first area and second area. Pixels whose correlation scores exceed a threshold are removed from the foreground patch. The size of the bounding box may also be reduced to fit the modified foreground patch.

Abstract: A server 2 includes an extraction unit 21, an analysis unit 22, a first estimating unit 24, an information acquisition unit 25 and a second estimating unit 26. The extraction unit 21 extracts an image area for each article. The analysis unit 22 analyzes the image area to acquire analysis information. The first estimating unit 24 narrows down candidates estimated to correspond to the article in the image area based on the analysis information. When the candidates were able to be narrowed down, the information acquisition unit 25 acquires additional information additional information of a reference article. The second estimating unit 26 attempts a narrowing process based on the additional information of the reference article in addition to the analysis information, for the image area including a spine, which is an image area in which candidates were unable to be narrowed down.

Abstract: A biometric authentication device includes: a memory; and a processor coupled to the memory and configured to: determine, when authentication with first biometric information has been successful, whether second biometric information different from the first biometric information is from a user corresponding to the first biometric information using a determining method corresponding to one of a plurality of security levels, the determining method being selected from among a plurality of determining methods based on the one of the plurality of security levels, and register, when the second biometric information has been determined to be from the user, the second biometric information associated with the user.

Abstract: A method of determining a boundary of an obstacle which occludes an object in an image, is disclosed. At least one object in the image and a further image captured by a camera is determined. A plurality of regions in which the at least one object is detected, is determined from the images. Locations of edges of the plurality of regions are determined A common location is determined from the determined edges. The boundary of the obstacle is determined, where the boundary comprises a part of the edges at the common location.

Abstract: There is provided an image processing apparatus that includes an ambient-light image obtaining section, a cumulative image generation section, and a high-quality image generation section. The ambient-light image obtaining section obtains an ambient-light image in a first time range, the ambient-light image being an image of an object captured with a predetermined exposure time. The cumulative image generation section generates a cumulative image in a second time range, the cumulative image being obtained by cumulative addition of each pixel value in a plurality of images, the plurality of images being of the object sequentially captured with the predetermined exposure time. The high-quality image generation section generates a high-quality image, the high-quality image being obtained by subtracting a pixel value in the ambient-light image from a corresponding pixel value in a normalized image, the normalized image being the cumulative image normalized based on a total sum of the exposure time.

Abstract: In one aspect, the present subject matter is directed to a computer-implemented method for removing transient objects to synthesize an unobstructed image. The method includes receiving a plurality of images from a user. A most common value at a same pixel of each image is determined to infer pixels associated with a background of the images. A composition is generated from the received images, wherein the composition includes one of the pixels associated with the background of the images in place of a pixel associated with a foreground of at least one of the images.

Abstract: For each pixel of an input image, a direction toward which variation in pixel value between the relevant pixel and its peripheral pixels is largest and an amount of the variation in pixel value are computed, where a direction unit vector that indicates the direction toward which the variation is largest and a variation vector that represents the amount of the largest variation in the pixel value are computed. For each pixel, a regularization strength is computed utilizing the direction unit vector, the variation vector, and a regularization strength computing formula so that the larger the amount of the variation in pixel value toward a direction indicated by the direction unit vector, the less the regularization strength. An optimization function is determined based on the input image and the regularization strength for each pixel thereof and assigns a value for each pixel, by which the determined optimization function has the minimum value, to the corresponding pixel of a restored image to be generated.

Abstract: A system, method, and computer program product for displaying a plurality of images. A method of the present invention includes storing image-associated metadata for each image. The method further includes storing user-associated metadata for each user. The method further includes creating a graph comprising the plurality of images, based on the image-associated and user-associated metadata. The method further includes processing the plurality of images based on the graph to generate a subset of the plurality of images. The method further includes displaying the subset of the plurality of images.

Abstract: The disclosure relates to encoding and decoding image information. The encoding comprises receiving a block of pixels; determining a set of potential reference samples for the block of pixels; selecting a subset of the set of potential reference samples to be used as reference samples for the block of pixels; and using the selected reference samples to determine a DC prediction value for the block of pixels. A prediction error is determined for a pixel in the block of pixels on the basis of the DC prediction value. The decoding comprises receiving an encoded block of pixels; determining reference samples for the encoded block of pixels; and using the determined reference samples to define a DC prediction value for the block of pixels. A prediction error is received for a pixel of the encoded block of pixels. The pixel value is reconstructed on the basis of the DC prediction value.

Abstract: The embodiments of the present invention provide an image processing method and an electronic device. The method comprises: obtaining all image characteristics contained in each of N captured images and determining at least one image characteristic from the all image characteristics; searching the N images for at least two images each containing the at least one image characteristic based on the at least one image characteristic; determining a reference image from the at least two images and obtaining image residue information characterizing an image difference parameter between the reference image and each of the at least two images; and applying data compression to the reference image and the image residue information. In this way, it is possible to solve the problem associated with limited image compression scheme and large space occupation by pictures.

Abstract: An image processing method includes, calculating a partial distance between a pixel of interest in an image and each of reference pixels, sequentially calculating a total distance between the pixel of interest and each of the plurality of the reference pixels based on the partial distance, determining a shortest total distance among the total distances that have been already calculated, in the sequential calculation of the total distance, and categorizing the pixel of interest based on the reference pixel corresponding to the shortest total distance, wherein, if the partial distance between the pixel of interest and a specific one of the reference pixels to be calculated is equal to or greater than the shortest total distance in the sequential calculation of the total distance, the calculation of the total distance between the pixel of interest and the specific one of the reference pixels to be calculated is omitted.

Abstract: Methods for removing vertical and horizontal lines from a document image. The horizontal line removal method includes: for a column of black pixels at each horizontal position along the line, removing them if their maximum stroke width is less than the median value of maximum stroke widths in a small window centered at that horizontal position; Remove connected components remaining in the horizontal line bounding box that do not extend significantly above or below the bounding box boundaries; and Perform closing operation to join broken pieces of character strokes caused by underline removal. This method preserves character strokes while removing underlines. The vertical line removal method includes: for vertical lines that have large height to width ratio, remove parts of such lines that are not at intersection of with horizontal or near-horizontal lines; remove all remaining connected components that touch neither left nor right boundary of the bounding box.

Abstract: A method for compressing a set of images comprising a plenoptic image and at least one refocused image obtained from the plenoptic image for a given focus, by generating a set of data comprising a compressed version of the plenoptic image, some focusing parameter to build a refocused image from this plenoptic image and a compressed residual data to restore the refocused image in its plain quality. Accordingly, the set of images can be compressed in an efficient way, preserving the quality of the shoot using the focus chosen by the photographer.

Abstract: An image processing apparatus includes an input unit configured to input image data to be processed, an determination unit configured to determine a region corresponding to local light in the image data input by the input unit, and a specification unit configured to determine a characteristic of the image data input by the input unit, wherein the determination unit changes, according to the characteristic of the image data specified by the specification unit, an determination criterion of the region corresponding to the local light.

Abstract: Disclosed are various embodiments for systems and methods for image processing. A resizing template may be generated having one or more image sizes of an original image based at least in part on resize settings. A preview may then be generated of preview images of the original image based at least in part on the resizing template and the resize settings. The resize settings may be further adjusted via the preview. Upon approval of the preview and the adjusted resize settings, the original image is processed to generate final resized images according to the template and the modified resize settings.

Abstract: A method comprises computing a color factor value indicating an amount of color gradients in at least one color channel from the query image. The method comprises combining the color-keypoints with the gray-keypoints when the color factor value is greater than a threshold. A method for performing a visual search comprises extracting a plurality of local descriptors from a query image and then selecting a subset of them based on various criteria's such as visual meaning score. A method comprises aggregating each mean vector for each visual codeword from distances between each visual codeword and local descriptors. The method comprises aggregating variance vector for each visual codeword from the distance between each visual codeword, and local descriptors. The method comprises transmitting aggregated mean vector information and aggregated variance vector information to a search server for efficient image retrieval.