Abstract: An image-processing method of removing noise from an image includes: obtaining standard representative values for standard regions of a standard image and reference representative values for reference regions of a reference image, and obtaining a plurality of hierarchical images having different resolutions with respect to the standard image and the reference image based on the standard representative values and the reference representative values; obtaining the standard representative values for the standard regions of the standard image and the reference representative values for the reference regions of the reference image from the hierarchical images; determining a similarity between the standard regions and the reference regions from the standard representative values and the reference representative values; and removing noise by applying filtering to the standard image and the reference image depending on the determined similarity.

Abstract: Disclosed are an image processing apparatus and method that more efficiently process image data. The image processing apparatus includes a vector data manager that receives at least some of all image data and converts the received image data into vector data, a vector processor that receives the vector data from the vector data manager, performs a vector processing operation by using the vector data, and generates output vector data as a result of the vector processing operation, and a synchronizer that controls a timing of when the vector data manager transmits the vector data to the vector processor.

Abstract: A method and apparatus for processing numeric calculation are provided. The method includes determining a shift bit and an index bit that falls within an index range of a lookup table from among bits representing a divisor scaled up by an offset, obtaining a replacement value corresponding to an index value of the determined index bit by using the lookup table, multiplying a dividend scaled up by the offset by the obtained replacement value, and outputting a value corresponding to a division operation by correcting a scale of a result of the multiplication using a right shift operation.

Abstract: An image-processing method of removing noise from an image includes: obtaining standard representative values for standard regions of a standard image and reference representative values for reference regions of a reference image, and obtaining a plurality of hierarchical images having different resolutions with respect to the standard image and the reference image based on the standard representative values and the reference representative values; obtaining the standard representative values for the standard regions of the standard image and the reference representative values for the reference regions of the reference image from the hierarchical images; determining a similarity between the standard regions and the reference regions from the standard representative values and the reference representative values; and removing noise by applying filtering to the standard image and the reference image depending on the determined similarity.

Abstract: An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing.

Abstract: A method and apparatus for processing an image for enhancing an image quality captured in a low illumination environment is disclosed. The method for processing the image may include estimating motion information based on a base frame among input frames captured using a short exposure time and high ISO sensitivity conditions, removing noise of the base frame using the motion information, and enhancing an image quality of the base frame from which the noise has been removed using a reference frame captured under a long exposure condition.

Abstract: Provided is an apparatus and method for reducing noise in an image, the apparatus including a reference image creator unit to create a reference image based on chrominance about a plurality of channels included in an output image obtained from an image sensor of a camera, and a noise reduction unit to perform noise reduction for the respective channels using the created reference image. The plurality of channels may include at least one of a green channel, a red channel, and a blue channel.

Abstract: Provided is an apparatus and method for extracting feature information of an image using a scale-invariant feature transform (SIFT) algorithm. The apparatus may include a first interface configured to generate one or more tile images from a first source image stored in a particular memory, such as a high-capacity short-term memory, and a feature information extractor configured to receive the generated one or more tile images and to respectively extract feature information from each of the one or more input tile images, where the first interface may be configured to generate the one or more tile images by selectively dividing the first source image into the one or more tile images based on a horizontal resolution of the first source image.

Abstract: An apparatus and method for calculating a cumulative histogram of an image are provided. A cumulative histogram calculation apparatus may include a cumulative value selecting unit to select cumulative data obtained by accumulating input data, based on a number of combinations of the input data, and a loading unit to load the selected cumulative value in a corresponding bin of a histogram.

Abstract: Disclosed are an image processing apparatus and method that more efficiently process image data. The image processing apparatus includes a vector data manager that receives at least some of all image data and converts the received image data into vector data, a vector processor that receives the vector data from the vector data manager, performs a vector processing operation by using the vector data, and generates output vector data as a result of the vector processing operation, and a synchronizer that controls a timing of when the vector data manager transmits the vector data to the vector processor.

Abstract: A method and apparatus for processing numeric calculation are provided. The method includes determining a shift bit and an index bit that falls within an index range of a lookup table from among bits representing a divisor scaled up by an offset, obtaining a replacement value corresponding to an index value of the determined index bit by using the lookup table, multiplying a dividend scaled up by the offset by the obtained replacement value, and outputting a value corresponding to a division operation by correcting a scale of a result of the multiplication using a right shift operation.

Abstract: A method of processing image data includes a plurality of different processes performed based on edge information generated as a result of performing a preset process from among the plurality of different processes. Therefore, the time for processing the image data is reduced, and image quality is enhanced.

Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.

Abstract: An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing.

Abstract: An apparatus and method for calculating a cumulative histogram of an image are provided. A cumulative histogram calculation apparatus may include a cumulative value selecting unit to select cumulative data obtained by accumulating input data, based on a number of combinations of the input data, and a loading unit to load the selected cumulative value in a corresponding bin of a histogram.

Abstract: A method and apparatus for processing an image for enhancing an image quality captured in a low illumination environment is disclosed. The method for processing the image may include estimating motion information based on a base frame among input frames captured using a short exposure time and high ISO sensitivity conditions, removing noise of the base frame using the motion information, and enhancing an image quality of the base frame from which the noise has been removed using a reference frame captured under a long exposure condition.

Abstract: Provided is an apparatus and method for reducing noise in an image, the apparatus including a reference image creator unit to create a reference image based on chrominance about a plurality of channels included in an output image obtained from an image sensor of a camera, and a noise reduction unit to perform noise reduction for the respective channels using the created reference image. The plurality of channels may include at least one of a green channel, a red channel, and a blue channel.

Abstract: Provided is an apparatus and method for extracting feature information of an image using a scale-invariant feature transform (SIFT) algorithm. The apparatus may include a first interface configured to generate one or more tile images from a first source image stored in a particular memory, such as a high-capacity short-term memory, and a feature information extractor configured to receive the generated one or more tile images and to respectively extract feature information from each of the one or more input tile images, where the first interface may be configured to generate the one or more tile images by selectively dividing the first source image into the one or more tile images based on a horizontal resolution of the first source image.

Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.