Abstract:
A method of adjusting a brightness of an input image includes performing brightness conversion on a brightness component value of the input image, and compensating a chroma value of the input image based on input image information and a brightness value obtained from the brightness conversion, wherein the input image information includes a chroma component value and the brightness component value of the input image.
Abstract:
Exemplary embodiments disclose an image processing method which includes obtaining a binary value by quantizing a value obtained by summing at least one pixel value of an input image and a quantization error value of a neighboring pixel; determining a pixel in which a detail intensity is to be inserted according to the binary value of each pixel; determining the detail intensity to be inserted in the determined pixel; and inserting the determined detail intensity in the determined pixel, wherein the quantization error value of the neighboring pixel is a difference value between an original pixel value of the neighboring pixel and a pixel value quantized with respect to a predetermined constant value.
Abstract:
An image processing method and apparatus for a curved display device are provided. The image processing method includes acquiring physical curvature information related to the display device, determining a center region of an input image based on the physical curvature information, generating a pixel-by-pixel spatial indexed gain based on the determined center region of the input image, and correcting a pixel value of the input image by using the pixel-by-pixel spatial indexed gain.
Abstract:
A method and apparatus for converting a gray level of a color image are provided. The method of converting the gray level includes determining an intermediate RGB value which corresponds to an input RGB value of the color image, based on color mapping information in which target RGB values, mapped to the gray levels of the color image, are preset; determining whether the input RGB value is included in a gray region or a color region, based on a gray variation of the input RGB value; and, if the input RGB value is determined to be included in the gray region, converting the input RGB value by using the intermediate RGB value.
Abstract:
Methods, apparatuses and storage mediums for processing color signals of an image are provided. A method includes converting an input signal in a first color space into a luminance component and a saturation component in a second color space, determining a boundary of the second color space by using the luminance component and the saturation component, determining whether the converted input signal is outside the boundary, and matching the saturation component so that the converted input signal outside the boundary of the second color space enters the second color space. The method may be carried out by a non-transitory computer readable storage medium. An apparatus includes a color signal a color space converter configured to convert an input signal in a first color space into a luminance component and a saturation component in a second color space; a color space boundary determiner configured to determine a boundary of the second color space by using the luminance component and the saturation component, and determine whether the converted input signal is outside the boundary; and a saturation matcher configured to match the saturation component so that the converted input signal outside the boundary of the second color space enters into the boundary of the second color space.
Abstract:
A method and apparatus for generating a 3K-resolution display image for a mobile terminal screen are disclosed. The method includes: receiving an input image; selecting a 3K resolution as a resolution of an image to be reproduced on the mobile terminal screen of a predetermined size, based on human cognitive characteristics and resolution analytical ability with respect to the mobile terminal screen; and generating a display image having the selected 3K resolution by using the input image.
Abstract:
An image-quality improvement method is provided. The image-quality improvement method includes detecting an area of interest from an input image; generating a color distribution map based on a plurality of respective brightness elements and a plurality of respective chroma elements of a plurality of pixels which belong to a predetermined color series and which are in the detected area of interest of the input image; determining a first area, which belongs to the predetermined color series, and a second area, which is an area of the input image other than the first area, according to the color distribution map; and changing values of a plurality of pixels in at least one of the first area and the second area.