Abstract: An image signal processor and an image signal processing method are disclosed. The image signal processor includes a stripe pattern determiner configured to calculate a gradient index for each of a plurality of directions in a target kernel and determine whether the target kernel corresponds to a stripe pattern based on the gradient index for each of the plurality of directions, a pattern direction determiner configured to determine a pattern direction of the target kernel when the target kernel corresponds to the stripe pattern, and a demosaicing component configured to perform an interpolation operation based on the pattern direction of the target kernel.

Abstract: A medical image transmitting method includes obtaining a medical image generated by imaging an object; performing a first determination to determine whether the object has an abnormality, based on the medical image; performing a second determination to determine, based on the first determination, whether to transmit at least one assistance image associated with the medical image; and when the object has no abnormalities, transmitting, to an external apparatus, the medical image, thereby minimizing a data processing amount and a data transmission amount.

Abstract: An image processing device, and a pixel interpolation method, includes a preprocessor configured to generate a region of interest having a preset size based on pixel values received from an image sensor including white pixels and configured to determine an interpolation direction in the region of interest. The image processing device and interpolation method also includes a pixel interpolator configured to determine a second target pixel corresponding to the interpolation direction based on a first target pixel included in the region of interest and configured to calculate an interpolated white pixel value of the first target pixel based on a ratio of pixel values of adjacent white pixels adjacent to the first target pixel and the second target pixel to pixel values corresponding to a color of the first target pixel.

Abstract: A medical image transmitting method includes obtaining a medical image generated by imaging an object; performing a first determination to determine whether the object has an abnormality, based on the medical image; performing a second determination to determine, based on the first determination, whether to transmit at least one assistance image associated with the medical image; and when the object has no abnormalities, transmitting, to an external apparatus, the medical image, thereby minimizing a data processing amount and a data transmission amount.

Abstract: Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

Abstract: An image processing device including: a gain value manager for generating white gain values corresponding to a plurality of positions, based on a sensing result of a predetermined white image; a target pixel manager for detecting saturated pixels, based on pixel values received from an external device, and determining target pixels as saturated white pixels of which each have a pixel value that indicates that the saturated white pixel is saturated, based on peripheral pixels of the saturated white pixels among the detected saturated pixels; and a target pixel corrector for changing pixel values of the target pixels, based on the white gain values and pixel values of the peripheral pixels.

Abstract: There are provided an apparatus and a method for generating a panorama image. The apparatus includes: a Region Of Interest (ROI) selecting block for receiving a plurality of images, and outputting ROI images by selecting an ROI of each of the plurality of images; a High Dynamic Range (HDR) processing block for performing HDR processing on the ROI images; and a panorama image generating block for generating a panorama image by stitching the plurality of images using a matching coordinate of the ROI images on which the HDR processing is performed. The HDR processing block performs the HDR processing on the panorama image.

Abstract: Provided herein may be an image sensing device and a method of operating the same. The image sensing device may include an image sensor configured to acquire an image including a plurality of pixel values, a memory configured to store reference gain values of each of a plurality of block areas included in the image, and an image processor configured to calculate gain values included in each of the plurality of block areas using the reference gain values and to output a correction image in which the reference gain values and the gain values are applied to the plurality of pixel values, wherein the block areas include a first block area and a second block area having a shorter distance from a center of the image than the first block area and having a size greater than that of the first block area.

Abstract: Disclosed herein is an X-ray apparatus for acquiring a medical image, and a method of using said X-ray apparatus, said method comprising the steps of: acquiring an original radiation image of a target object and capturing condition information of the object; acquiring a scatter radiation image related to the original radiation image by inputting the original radiation image and the capturing condition information to a learning network model configured to estimate scatter radiation; and acquiring a scatter radiation-processed medical image from the original radiation image on the basis of the original radiation image and the scatter radiation image, wherein the learning network model configured to estimate scatter radiation is a learning network model taught using a plurality of scatter radiation images and a plurality of pieces of capturing condition information related to each of the plurality of scatter radiation images.

Abstract: Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

Abstract: Provided herein may be an image sensing device and a method of operating the same. The image sensing device may include an image sensor configured to acquire an image including a plurality of pixel values, a memory configured to store reference gain values of each of a plurality of block areas included in the image, and an image processor configured to calculate gain values included in each of the plurality of block areas using the reference gain values and to output a correction image in which the reference gain values and the gain values are applied to the plurality of pixel values, wherein the block areas include a first block area and a second block area having a shorter distance from a center of the image than the first block area and having a size greater than that of the first block area.

Abstract: There are provided an apparatus and a method for generating a panorama image. The apparatus includes: a Region Of Interest (ROI) selecting block for receiving a plurality of images, and outputting ROI images by selecting an ROI of each of the plurality of images; a High Dynamic Range (HDR) processing block for performing HDR processing on the ROI images; and a panorama image generating block for generating a panorama image by stitching the plurality of images using a matching coordinate of the ROI images on which the HDR processing is performed. The HDR processing block performs the HDR processing on the panorama image.

Abstract: Disclosed herein is a method of acquiring a medical image of an X-ray apparatus, including: acquiring an original radiation image of a target object and capturing condition information of the object; acquiring a scatter radiation image related to the original radiation image by inputting the original radiation image and the capturing condition information to a learning network model configured to estimate scatter radiation; and acquiring a scatter radiation-processed medical image from the original radiation image on the basis of the original radiation image and the scatter radiation image, wherein the learning network model configured to estimate scatter radiation is a learning network model taught using a plurality of scatter radiation images and a plurality of pieces of capturing condition information related to each of the plurality of scatter radiation images.

Abstract: Disclosed herein is a method of acquiring a medical image of an X-ray apparatus, including: acquiring an original radiation image of a target object and capturing condition information of the object; acquiring a scatter radiation image related to the original radiation image by inputting the original radiation image and the capturing condition information to a learning network model configured to estimate scatter radiation; and acquiring a scatter radiation-processed medical image from the original radiation image on the basis of the original radiation image and the scatter radiation image, wherein the learning network model configured to estimate scatter radiation is a learning network model taught using a plurality of scatter radiation images and a plurality of pieces of capturing condition information related to each of the plurality of scatter radiation images.

Abstract: An X-ray apparatus performs image processing on an image of an object photographed by using a camera, and uses the image-processed image as an image marker in an X-ray image. A display is configured to display the X-ray image and the image marker on the region of the X-ray image.

Abstract: A device and a method for medical image processing are provided. The medical image processing method may include: obtaining a plurality of actual medical images corresponding to a plurality of patients and including lesions; training a deep neural network (DNN), based on the plurality of actual medical images, to obtain a first neural network for predicting a variation in a lesion over time, the lesion being included in a first medical image of the plurality of actual medical images, wherein the first medical image is obtained at a first time point; and obtaining, via the first neural network, a second medical image representing a state of the lesion at a second time point different from the first time point.

Abstract: A medical image transmitting method includes obtaining a medical image generated by imaging an object; performing a first determination to determine whether the object has an abnormality, based on the medical image; performing a second determination to determine, based on the first determination, whether to transmit at least one assistance image associated with the medical image; and when the object has no abnormalities, transmitting, to an external apparatus, the medical image, thereby minimizing a data processing amount and a data transmission amount.

Abstract: An X-ray apparatus performs image processing on an image of an object photographed by using a camera, and uses the image-processed image as an image marker in an X-ray image. A display is configured to display the X-ray image and the image marker on the region of the X-ray image.

Abstract: An X-ray apparatus performs image processing on an image of an object photographed by using a camera, and uses the image-processed image as an image marker in an X-ray image. A display is configured to display the X-ray image and the image marker on the region of the X-ray image.

Abstract: Disclosed herein is a method of acquiring a medical image of an X-ray apparatus, including: acquiring an original radiation image of a target object and capturing condition information of the object; acquiring a scatter radiation image related to the original radiation image by inputting the original radiation image and the capturing condition information to a learning network model configured to estimate scatter radiation; and acquiring a scatter radiation-processed medical image from the original radiation image on the basis of the original radiation image and the scatter radiation image, wherein the learning network model configured to estimate scatter radiation is a learning network model taught using a plurality of scatter radiation images and a plurality of pieces of capturing condition information related to each of the plurality of scatter radiation images.