Abstract: A disease diagnosis apparatus and a disease diagnosis method thereof, and a disease diagnosis system and a disease diagnosis method thereof are provided. The disease diagnosis apparatus includes a patch including one or more diagnosis modules collecting blood and measuring concentrations of one or more cardinal markers included in the collected blood, and a processor wirelessly transmitting measurement results to a server.

Abstract: A method of controlling a photographing apparatus is provided according to an embodiment. The method includes comparing brightness between a preview image and a captured image; and compensating shutter traveling properties based on a difference in the brightness between the preview image and the captured image.

Abstract: An imaging device includes a photographing device configured to photograph an object and generate an image signal, a gain storage register configured to store a gain determined for the photographing device, a gain adjustment unit configured to adjust the image signal using the gain, and a noise reduction unit configured to reduce noise of the image signal using a noise filter selected based on the gain.

Abstract: A photographing apparatus may include an image pickup device which captures an image and converts the captured image into an electric image signal. A luminance detector may calculate a plurality of luminance evaluation values corresponding to a plurality of metering modes using light measurement areas of the image of the electric image signal. The light measurement areas corresponding to each of the plurality of metering modes may be different from each other. An exposure value calculator may calculate an automatic exposure value based on the luminance evaluation value corresponding to each of the plurality of metering modes. The apparatus may also include a photographing controller which performs photographing in a plurality of times corresponding to the metering modes by operating the image pickup device using the automatic exposure values to capture a plurality of photographed images. A display unit may display the plurality of photographed images.

Abstract: Provided are a digital image processing apparatus and a method of controlling the same. The digital image processing apparatus includes a digital signal processing unit that recognizes a facial expression of a face from a photographed image, determines whether the eyes of the subject's face are closed, and re-photographs the image when the eyes are closed. The method of controlling the digital image processing apparatus includes: (a) receiving an image; (b) generating a photographed image by photographing the image; (c) checking whether the eyes on a face photographed on the photographed image are closed; and (d) generating a re-photographed image by re-photographing the image when the eyes are closed.

Abstract: A digital photographing apparatus may include an imaging device which captures an image of a subject using an illumination apparatus that operates using alternating current (AC) power, and a shutter speed derivation unit which derives at least one shutter speed that is n/2 times a reciprocal of the frequency at which the illumination apparatus operates when the frequency at which the illumination apparatus operates is not n/2 times the frame rate of the imaging device, according to a result of comparing the frequency at which the illumination apparatus operates and the frame rate of the imaging device. When using the digital photographing apparatus to photograph, frequency information of the illumination apparatus may be easily obtained and flicker may be prevented by using the frequency information to set the shutter speed.

Abstract: A photographing apparatus may include an image pickup device which captures an image and converts the captured image into an electric image signal. A luminance detector may calculate a plurality of luminance evaluation values corresponding to a plurality of metering modes using light measurement areas of the image of the electric image signal. The light measurement areas corresponding to each of the plurality of metering modes may be different from each other. An exposure value calculator may calculate an automatic exposure value based on the luminance evaluation value corresponding to each of the plurality of metering modes. The apparatus may also include a photographing controller which performs photographing in a plurality of times corresponding to the metering modes by operating the image pickup device using the automatic exposure values to capture a plurality of photographed images. A display unit may display the plurality of photographed images.

Abstract: A system for capturing and reproducing an image may include a digital image processor which captures an image, acquires characteristics of a reproducing apparatus, processes the captured image according to the characteristics of the reproducing apparatus to obtain an optimal image, and transmits the optimal image to the reproducing apparatus. The system may also include the reproducing apparatus which may then display the optimal image and a connection unit which transmits and receives data including the characteristics of the reproducing apparatus and the optimal image between the digital image processor and the reproducing apparatus.

Abstract: An imaging device includes a photographing device configured to photograph an object and generate an image signal, a gain storage register configured to store a gain determined for the photographing device, a gain adjustment unit configured to adjust the image signal using the gain, and a noise reduction unit configured to reduce noise of the image signal using a noise filter selected based on the gain.

Abstract: An auto-focusing method and a digital image processing apparatus using the same are disclosed. The auto-focusing method includes: setting a reference noise level if an illuminance of a photographing area is larger than a predetermined reference value, and setting a variable noise level that varies according to the illuminance of photographing area if the illuminance of photographing area is smaller than or equal to the predetermined reference value; calculating a focus value of each position of the focus lens while driving the focus lens within the predetermined lens-driving range in the unit of a step and selecting a maximum focus value of the predetermined lens-driving range among the calculated focus values, wherein in the calculating of the focus value, the noise level is subtracted from a pixel data that is larger than the noise level and the result of subtracting is used as the pixel data to calculate the focus value.

Abstract: Provided are a digital image processing apparatus and a method of controlling the same. The digital image processing apparatus includes a digital signal processing unit that recognizes a facial expression of a face from a photographed image, determines whether the eyes of the subject's face are closed, and re-photographs the image when the eyes are closed. The method of controlling the digital image processing apparatus includes: (a) receiving an image; (b) generating a photographed image by photographing the image; (c) checking whether the eyes on a face photographed on the photographed image are closed; and (d) generating a re-photographed image by re-photographing the image when the eyes are closed.

Abstract: An auto-focusing method and a digital image processing apparatus using the same are disclosed. The auto-focusing method includes: setting a reference noise level if an illuminance of a photographing area is larger than a predetermined reference value, and setting a variable noise level that varies according to the illuminance of photographing area if the illuminance of photographing area is smaller than or equal to the predetermined reference value; calculating a focus value of each position of the focus lens while driving the focus lens within the predetermined lens-driving range in the unit of a step and selecting a maximum focus value of the predetermined lens-driving range among the calculated focus values, wherein in the calculating of the focus value, the noise level is subtracted from a pixel data that is larger than the noise level and the result of subtracting is used as the pixel data to calculate the focus value.