Abstract:
An image display device and an image display method are disclosed. The image display device may include a display and a controller configured to change a value of a pixel included in an input image based on a hue value and a saturation value of the pixel and control the display such that the display displays the image in which the value of the pixel has been changed.
Abstract:
A method of enhancing quality of an image is provided, the method of enhancing quality including determining high frequency elements of the image, adding noise to and modulating a phase of the determined high frequency elements to generate modified high frequency elements, and restoring the image by using the modified high frequency elements.
Abstract:
A display apparatus includes a display, a signal processor configured to process an image signal to display an image on the display, and a controller configured to determine at least one region of possible color distortion from an edge area in the image displayed on the display and to change a color of the determined at least one region, based on a probability that a color distortion occurs in the determined at least one region and a replacement color.
Abstract:
An electronic apparatus is provided. The electronic apparatus includes: a storage configured to store a plurality of filters each corresponding to a plurality of image patterns; and a processor configured to classify an image block including a target pixel and a plurality of surrounding pixels into one of the plurality of image patterns based on a relationship between pixels within the image block and to obtain a final image block in which the target pixel is image-processed by applying at least one filter corresponding to the classified image pattern from among the plurality of filters to the image block, wherein the plurality of filters are obtained by learning, through an artificial intelligence algorithm, a relationship between a plurality of first sample image blocks and a plurality of second sample image blocks corresponding to the plurality of first sample image blocks based on each of the plurality of image patterns.
Abstract:
A frequency adaptive descreening method includes obtaining a scan image of an original document, dividing a region of the scan image by analyzing frequency characteristics of the obtained scan image, estimating a resolution with respect to each of regions resulting from dividing the region according to the analyzed frequency characteristics, and adaptively performing filtering on the regions resulting from dividing the region by using the estimated resolution.
Abstract:
Provided are an apparatus and a method for processing a radiograph which is capable of precisely detecting a region of interest. The apparatus includes: an inputter that outputs an input image obtained by irradiating radioactive rays; and a line detector that performs a Hough transform on the input image, senses at least one edge line based on the Hough-transformed input image, performs a Radon transform in a region in which the at least one edge line is sensed, and obtains an edge line of the at least one edge line as a first collimation line one based on a result of the Radon transform.
Abstract:
A noise estimation apparatus and method to prevent texture from being erroneously determined as noise, is provided. To this end, the noise estimation method includes generating an initial noise map for an input image signal, generating at least one noise map based on a temporal change of an image signal continuing from the image signal, calculating a correlation value for each region between the initial noise map and the noise maps, and determining noise of an image according to a temporal change based on the correlation value.
Abstract:
A method and apparatus for reconstructing a low-resolution image is provided. The method includes magnifying a low-resolution image; extracting a high frequency component and a texture component from the pre-magnification low-resolution image; and reconstructing an image by synthesizing the extracted high frequency component and texture component with the magnified low-resolution image. The method and apparatus synthesizes only image components without a separate external DB, making it possible to enhance sharpness of the outline of images and thus effectively reconstruct fine texture components.