Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: An image processing device is provided, which has an improved face detection method. The image processing device may include a background manager, which determines a foreground region having a target object and a background region which excludes the target object based on image data that includes pixel values of pixels included in the image and depth map data that includes disparity values of the image pixels. A target object manager determines a reference position of the target object by counting foreground pixels included in the foreground region in a preset direction at a plurality of positions, and detecting the target object corresponding to a preset shape within a region of interest that is set based on the reference position.

Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: An auto white balance method is disclosed. The auto white balance method includes receiving image data to divide the image data into a plurality of partition cells, calculating an estimation value of a skin tone included in the image data, and selecting outliers for detection of a white point of the image data, based on at least some of the plurality of partition cells and the estimation value.

Abstract: An auto white balance method is disclosed. The auto white balance method includes receiving image data to divide the image data into a plurality of partition cells, calculating an estimation value of a skin tone included in the image data, and selecting outliers for detection of a white point of the image data, based on at least some of the plurality of partition cells and the estimation value.

Abstract: An auto white balance method is disclosed. The auto white balance method includes receiving image data to divide the image data into a plurality of partition cells, calculating an estimation value of a skin tone included in the image data, and selecting outliers for detection of a white point of the image data, based on at least some of the plurality of partition cells and the estimation value.

Abstract: The present invention relates to a composition for an inflammatory disease, using Litsea japonica, and more specifically to a composition for preventing and treating an inflammatory disease, containing the oil derived from the fruits or the seeds of Litsea japonica, and a method for preparing the same. The present invention uses the fruits (excluding the seeds) or the seeds of Litsea japonica and obtains the oil, which is used as an active ingredient of a composition for preventing and treating an inflammatory disease, by using n-hexane, wherein the oil is obtained by: separating the fruits (excluding the seeds) of Litsea japonica from the seeds; injecting n-hexane, which is a solvent, into the fruits (excluding the seeds) or the seeds, 9-11 times greater than the weight of each: stirring the same for 24 hours at room temperature and extracting the same; and removing a hexane layer.

Abstract: An auto white balance method is disclosed. The auto white balance method includes receiving image data to divide the image data into a plurality of partition cells, calculating an estimation value of a skin tone included in the image data, and selecting outliers for detection of a white point of the image data, based on at least some of the plurality of partition cells and the estimation value.

Abstract: An image signal processor including a CPU is provided. The CPU receives image data and positional information of phase detection pixels from an imaging device, extracts first phase detection pixel data and second phase detection pixel data from the image data using the positional information of phase detection pixels, computes first phase graphs from the first phase detection pixel data based upon moving a first window, computes second phase graphs from the second phase detection pixel data based upon moving a second window, computes disparities of the phase detection pixels using the first phase graphs and the second phase graphs, and generates a depth map using the disparities.

Abstract: A method of automatically tuning operation parameters of an image signal processor which processes a raw image in a data processing system including a processor is provided. The method includes the processor receiving the raw image and metadata involved in generation of the raw image, automatically tuning a first representative value of a first parameter sets related to first parameters using the raw image, the metadata, and either of a specification and a reference image, automatically tuning the first parameters based on the tuned first representative value, and transmitting the first parameters to the image signal processor.

Abstract: An image processing device includes first and second image signal processors (ISPs) independently capable of processing an image received from an image sensor. The first ISP processes a first image having a first resolution and the second ISP processes a second image having a different second resolution.

Abstract: An image signal processor including a CPU is provided. The CPU receives image data and positional information of phase detection pixels from an imaging device, extracts first phase detection pixel data and second phase detection pixel data from the image data using the positional information of phase detection pixels, computes first phase graphs from the first phase detection pixel data based upon moving a first window, computes second phase graphs from the second phase detection pixel data based upon moving a second window, computes disparities of the phase detection pixels using the first phase graphs and the second phase graphs, and generates a depth map using the disparities.

Abstract: The present invention relates to a composition for preventing and treating gastrointestinal diseases by using Litsea japonica, and specifically, to a composition for preventing and treating gastrointestinal diseases, containing essential oils extracted from Litsea japonica fruit as an active ingredient. According to the present invention, the essential oils extracted from Litsea japonica fruits (pure fruit, seed fruit, and seeds) and used as the active ingredient of the composition for preventing and treating gastrointestinal diseases have been confirmed to have excellent effects in an efficacy evaluation for relieving gastrointestinal diseases caused by Helicobacter pylori, which is a gastrointestinal disease factor, physical factors induced by stress, and chemical factors induced by indomethacin. Therefore, the essential oils extracted from Litsea japonica fruit (pure fruit, seed fruit, and seeds) are useful for preventing and treating gastrointestinal diseases caused by various factors.

Abstract: The present invention relates to a composition for an inflammatory disease, using Litsea japonica, and more specifically to a composition for preventing and treating an inflammatory disease, containing the oil derived from the fruits or the seeds of Litsea japonica, and a method for preparing the same. The present invention uses the fruits (excluding the seeds) or the seeds of Litsea japonica and obtains the oil, which is used as an active ingredient of a composition for preventing and treating an inflammatory disease, by using n-hexane, wherein the oil is obtained by: separating the fruits (excluding the seeds) of Litsea japonica from the seeds; injecting n-hexane, which is a solvent, into the fruits (excluding the seeds) or the seeds, 9-11 times greater than the weight of each: stirring the same for 24 hours at room temperature and extracting the same; and removing a hexane layer.

Abstract: An image processing device includes first and second image signal processors (ISPs) independently capable of processing an image received from an image sensor. The first ISP processes a first image having a first resolution and the second ISP processes a second image having a different second resolution.

Abstract: There are provided a fermentation product of aloe, a method of manufacturing the same and functional foods using the same. More particularly, the present invention relates to a method of manufacturing a fermentation product of aloe by culturing mushroom mycelia in an aloe natural medium containing many effective ingredients and thus having diverse bioactive effects, and a method of manufacturing functional foods having various pharmacological effects of improving stomach function, enhancing immunity and having effectiveness against cancer by using the fermentation product of aloe.

Abstract: Disclosed is a novel antimicrobial peptide having excellent antimicrobial activities, its analogs and an antimicrobial composition comprising them. The antimicrobial peptide alternatively comprises basic amino acid residues and hydrophobic amino acid residues, and is able to penetrate into microbial cells and act against a wide variety of microorganisms.

Abstract: Disclosed is a novel antimicrobial peptide having excellent antimicrobial activities, its analogs and an antimicrobial composition comprising them. The antimicrobial peptide alternatively comprises basic amino acid residues and hydrophobic amino acid residues, and is able to penetrate into microbial cells and act against a wide variety of microorganisms.