Samsung Electronics Co., Ltd.

Samsung Electro-mechanics Co., Ltd.

Dae-su Chung

Seong-deok Lee

Sung-Su Kim

Byoung-ho Kang

Du-Sik Park

Won-hee Choe

Jae-hyun Kwon

Young-shin Kwak

Byung-kwan Park

Young-jin Yoo

Byung-Ho Kang

Ji-young Hong

A system, medium, and method compensating brightness of an image, by compensating the brightness of a main object included in the image. The system includes a brightness distribution calculation unit dividing the obtained image into a plurality of divided regions and calculating the brightness distribution of each divided region, and a compensation unit determining a main region including a main object in the obtained image according to the calculated brightness distribution and compensating the obtained image according to the determination result.

System, medium, and method compensating brightness of an image

Provided are an apparatus and method for acquiring an image based on expertise, whereby laymen can also acquire a high-definition image like experts. The apparatus includes a storage unit storing representative images representing a plurality of image acquisition environments and storing parameters corresponding to the representative images, an image classification unit classifying an input image and selecting a representative image from the storing unit based on a result of the classification, a parameter extraction unit extracting parameters corresponding to the selected representative image from the storage unit, and a control unit controlling the apparatus according to the extracted parameters.

Apparatus and method for acquiring image based on expertise

Provided is an image capturing apparatus and method, in which the limit of the application of blurring to an input image is determined with the use of a database of recognizable blur levels, and the input image is processed by applying filtering properties corresponding to variations in digital gain and an exposure time. The image capturing apparatus includes a light reception module which receives an optical signal; and an image processing module which adjusts an exposure time-to-digital gain ratio with reference to the amount of light included in the optical signal.

Image capturing apparatus and method for limiting image blurring

Provided is an apparatus and method for enhancing an image by optimizing exposure and grayscale. The apparatus includes a component-extracting unit separating luminance signals and color signals from input image signals; a luminance-enhancing unit enhancing the luminance of the luminance signals; and a contrast-enhancing unit dividing the luminance signal having the enhanced luminance into one or more local areas, and enhancing the contrast of the luminance signal having the enhanced luminance for each local area.

Method and apparatus for enhancing image, and image-processing system using the same

An apparatus and method of capturing images having an optimized quality during night time conditions is provided. The apparatus for capturing images includes an image-capturing unit that captures an light from an object and generates a first digital image, a night-scene-sensing unit sensing whether the first digital image is a night-scene image, an exposure-adjustment unit adjusting an optimized exposure time by comparing an edge level of the night-scene image with that of a pre-generated reference image if it is sensed that the input image is the night-scene image, and a controller controlling the image-capturing unit to generate a second digital image based on the adjusted exposure time.

Apparatus and method of capturing images having optimized quality under night scene conditions

A method and apparatus for enhancing the quality of images using complementary color contrast are provided. The method includes (a) extracting color information of each of a plurality of pixels of an input image, (b) determining whether the input image includes both a first pixel belonging to a first group and a second pixel belonging to a second group with reference to the extracted color information, (c) converting a first hue of the first pixel into an optimum point of the first group, and (d) converting a second hue of the second pixel into an optimum point of the second group, wherein the first hue corresponding to the optimum point of the first group and the second hue corresponding to the optimum point of the second group are complementary to each other.

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Seoul, South Korea

Dae-su Chung