Abstract:
A display device includes a scene conversion detecting module to detect whether a scene is converted in an input image, and a brightness compensating module to determine an image category of the input image when a scene conversion is generated in the input image, and compensating for the brightness of the input image by calculating a weighted mean value of a tone increase value corresponding to the determined image category and a tone increase value corresponding to an image category of a previous image.
Abstract:
An image compensating system, medium, and method, including, a shadow area compensating system, medium, and method which may significantly increase the luminance of each pixel in a dark area with respect to pixels positioned in the vicinity of the corresponding pixel and slightly increase the luminance of each pixel in a bright area. The shadow area compensating method includes calculating a representative luminance Lav of each pixel having image information by reflecting the luminance of the corresponding pixel and the luminances of pixels positioned in the vicinity of the corresponding pixel, determining a compensation luminance ratio using the calculated representative luminance, and increasing an output luminance on the basis of the compensation luminance ratio.
Abstract:
An image processing method, medium, and system. The image processing method includes classifying an input image into predetermined image categories based on a feature of a brightness histogram of the input image, and adjusting a brightness of the input image based on grayscale functions corresponding to the image categories and positions of pixels making up the input image.
Abstract:
An apparatus and a method for reducing noise from an image sensor are provided. The apparatus includes a noise-estimation unit which estimates a noise level representing an image frame expressed as a component in a color space, a filter-strength-calculation unit which determines filter strength based on the estimated noise level, and a filter-application unit which filters pixels constituting the image frame according to the determined filter strength.
Abstract:
A method and apparatus for expanding bit resolution using local information of an image receives an input image. First, second and third threshold value used to enhance bit resolution, to detect a texture and to detect a pattern, respectively, are determined considering global information of the input image. A texture existing in a mask region composed of surrounding pixels within a predetermined range around a current pixel is determined using the second threshold value. A regularly repeated pattern existing in the mask region is determined using the third threshold value if no texture exists in the mask region. The first threshold value is decreased if a texture or pattern exists in the mask region. Values of mask region pixels are adjusted depending on the first threshold value, and bit resolution of the current pixel value is enhanced using a resultant value obtained by filtering the adjusted pixel values.
Abstract:
A method to enhance detail of an image based on noise elimination includes calculating a noise weight corresponding to a probability that a center pixel, located in a block of pixels of a region of the image, is noise by using a difference between the center pixel and a surrounding pixel located in the block of pixels, calculating a first substitution value for the center pixel based on the noise weight; and calculating a second substitution value for the center pixel by using the noise weight and a sharpen filter.
Abstract:
A method of enhancing a contrast and an apparatus for enhancing a contrast are provided. The method of enhancing the contrast includes: dividing an image into a plurality of blocks and calculating an average luminance value of each block; interpolating a peripheral luminance value for each input pixel of the image by using the average luminance value; and enhancing the contrast of the input pixel by using the interpolated peripheral luminance value of the input pixel and a unique luminance value of the input pixel.
Abstract:
Disclosed herein is a color display apparatus which has a pixel pattern including a plurality of repeating units of a pixel array, wherein each of the plurality of repeating units of the pixel array is composed of at least five sub-pixels while including at least one sub-pixel from a first to fourth sub-pixel, respectively, the first sub-pixel representing a red color (R), the second sub-pixel representing a green color (G), the third sub-pixel representing a blue color (B), and the fourth sub-pixel representing a mixed color of at least two colors from among the R, G, and B, and each of the plurality of repeating units of the pixel array corresponds to at least two image pixels.
Abstract:
A method, medium, and system reducing block noise of a digital image, including an encoding/decoding method, medium, and system. The method of reducing block noise of a digital image includes calculating a value of a boundary block that includes a boundary between two neighboring blocks, calculating the visibility of the boundary block by extracting specified characteristic values of the boundary block, classifying the boundary block according to a result of comparing the calculated visibility with a specified threshold value and whether the two neighboring blocks are corner blocks, and performing deblocking of the two neighboring blocks according to a result of classification.
Abstract:
An apparatus and a method for reducing noise from an image sensor are provided. The apparatus includes a noise-estimation unit which estimates a noise level representing an image frame expressed as a component in a color space, a filter-strength-calculation unit which determines filter strength based on the estimated noise level, and a filter-application unit which filters pixels constituting the image frame according to the determined filter strength.