Abstract: According to various embodiments, an electronic device can comprise: a camera including groups of photoelectric conversion elements; and at least one processor configured so as to generate, by using the camera, a first image in which each of the groups corresponds to one corresponding pixel, determine whether a preset condition is satisfied, and generate, by using the camera, a second image in which each of the groups corresponds to a plurality of corresponding pixels, if the preset condition is satisfied.

Abstract: According to various embodiments, an electronic device can comprise: a camera including groups of photoelectric conversion elements; and at least one processor configured so as to generate, by using the camera, a first image in which each of the groups corresponds to one corresponding pixel, determine whether a preset condition is satisfied, and generate, by using the camera, a second image in which each of the groups corresponds to a plurality of corresponding pixels, if the preset condition is satisfied.

Abstract: A method of controlling a photographing device comprising a plurality of image sensors includes generating color image data from a first image sensor photographing a subject and generating grey image data from a second image sensor photographing the subject, extracting a first edge from the color image data and extracting a second edge from the grey image data, combining the first edge with the second edge to generate a third edge, and combining the third edge with the color image data to generate resultant image data.

Abstract: An image photographing apparatus and an image photographing method thereof are provided. The image photographing method includes determining an illuminance of a photograph environment during image photographing; and controlling a resolution of a captured image according to the determined illuminance.

Abstract: An apparatus, computer readable medium, and a method of controlling a digital photographing apparatus comprising a plurality of optical systems, the method including deriving shake information from the plurality of optical systems; and determining a base optical system from among the plurality of optical systems according to the shake information.

Abstract: An image processing method and an image processing apparatus for removing noise from an image are disclosed. A provided image processing method includes: dividing an input image into a luminance signal and a chrominance signal; removing noise from the luminance signal; restoring luminance signal present in the noise removed from the luminance signal; removing noise from the chrominance signal; and combining the luminance signal and the chrominance signal from which the noises are removed. Accordingly, an image of which an edge component is well preserved and a degree of color noise is low is generated not only in a general environment but also in a low light level and high sensitivity environment having a large amount of noise.

Abstract: A method of controlling a digital photographing apparatus successively photographs one short exposure image and a plurality of long exposure images. A global motion of each of the long exposure images is compensated based on the one short exposure image. A Point Spread Function (PSF) of each of the one short exposure image and the long exposure images are extracted. A shake correction image is extracted through a repeat estimation by determining an initial value of the repeat estimation based on the one short exposure image and the long exposure images and using each PSF.

Abstract: Provided are an image processing method, a digital image processing apparatus, and a recording medium storing the image processing method. The method includes capturing a first image, a second image, and a third image, which are captured with different focuses for the same subject and background; setting a subject portion and a background portion by using the first and second images; and combining the first image for the subject portion and the third image for the background portion with each other to obtain an out-of-focus image.

Abstract: An image processing method and image processing apparatus for removing noise from an image. The image processing method includes: dividing an input image into a high frequency component and a low frequency component; removing noise from the high frequency component; and combining the low frequency component and the high frequency component from which noise is removed to form an output image. Accordingly, an image in which edge components are well preserved and a degree of color noise is reduced may be generated not only in a general environment but also in a low light level and highly sensitive environment having strong noise.

Abstract: An image processing apparatus and an image processing method, the method including: providing one or more low dynamic range images having different exposure levels; classifying each of the one of more low dynamic range images as a saturation region, an under-saturation region, and a non-saturation region with respect to an intensity value; generating feature maps indicating a similarity between patterns of the non-saturation regions; generating final feature maps converting pixels included in the feature maps into moving pixels and non-moving pixels; defining moving regions and non-moving regions included in the one or more low dynamic range images; removing noise from the moving regions and the non-moving regions by using a first noise reduction filter for the moving regions and a second noise reduction filter for the non-moving regions; and generating a radiance map corresponding to the one or more low dynamic range images.

Abstract: A method of obtaining variance data or standard deviation data for efficiently reducing noise in an image is provided. The method includes (a) dividing an image into a plurality of clusters; (b) checking frequency data of data values of pixels included in each cluster; (c) obtaining a weighted average of the data values of the pixels included in each cluster; (d) obtaining a variance or a standard deviation of the data values of the pixels included in each cluster by using the weighted average; and (e) obtaining variance data or standard deviation data in accordance with weighted averages by using the weighted average and the variance or the standard deviation in each cluster. A digital photographing apparatus is also provided that includes a recording medium storing variance data or standard deviation data for efficiently reducing noise in an image which is obtained in accordance with the above method.

Abstract: A method of estimating a point spread function (PSF) includes: estimating a global motion between a short-exposure image and a long-exposure image that are continuously captured using different exposure times, and compensating for the global motion; calculating a first resultant image by applying a band pass filter to the short-exposure image; calculating a second resultant image by applying the band pass filter to the long-exposure image; converting the first resultant image and the second resultant image into n-level images, where n is an odd natural number greater than or equal to 3, by deducing a first n-level resultant image and a second n-level resultant image from the first resultant image and the second resultant image, respectively; correlating the first n-level resultant image and the second n-level resultant image, and calculating a correlation map; and deducing the PSF from the correlation map.

Abstract: Disclosed are example methods and apparatuses for image processing for improving an out-of-focus effect. A disclosed example methods includes capturing a first image, a second image, and a third image, which are captured with a different focus for a same subject and background; setting a subject portion and a background portion using the first and second images; combining the subject portion of first image and the background portion of the third image with each other to obtain an narrow depth-of-field (DOF) image; and performing image processing on the obtained narrow DOF image.

Abstract: An image processing method and apparatus employ wide dynamic range imaging. The image processing method includes: providing a radiance map; decomposing a luminance value of the radiance map into a base layer and a detail layer; generating a weight using a ratio between the luminance value of the radiance map and the base layer; creating a compressed luminance using the base layer, the detail layer, and the weight; and generating a tone-mapped image using a color value of the radiance map, the luminance value of the radiance map, and the compressed luminance value. The image processing method provides a display image with enhanced local contrast and details.

Abstract: A digital photographing apparatus may perform a method of correcting hand shake to obtain images of high quality, in which hand shake is corrected completely, by correcting the hand shake using a plurality of successive images having different exposure times, and in particular, by determining whether a short exposure image will be obtained from a time period in which hand shake is weak or in a time period in which hand shake is strong according to photographing conditions.

Abstract: A digital photographing apparatus includes a plurality of image pickup units that capture a plurality of images, a first image processing unit that generates a single input image from the plurality of images, a second image processing unit that generates a display image comprising common angle of view information in which the angle of view information of each of the plurality of image pickup units with respect to the single input image overlap, and a display unit that displays the display image. Each of the plurality of images shows a different parallax with respect to a subject, and each of the plurality of image pickup units have angle of view information.

Abstract: A method of estimating a point spread function (PSF) includes: estimating a global motion between a short-exposure image and a long-exposure image that are continuously captured using different exposure times, and compensating for the global motion; calculating a first resultant image by applying a band pass filter to the short-exposure image; calculating a second resultant image by applying the band pass filter to the long-exposure image; converting the first resultant image and the second resultant image into n-level images, where n is an odd natural number greater than or equal to 3, by deducing a first n-level resultant image and a second n-level resultant image from the first resultant image and the second resultant image, respectively; correlating the first n-level resultant image and the second n-level resultant image, and calculating a correlation map; and deducing the PSF from the correlation map.

Abstract: A digital image processing apparatus performs an image processing method which includes capturing a first image, a second image, and a third image, which are captured with different focuses for the same subject and background; setting a subject portion and a background portion by using the first and second images; and combining the first image for the subject portion and the third image for the background portion with each other to obtain an out-of-focus image.

Abstract: Provided are an image processing method and apparatus for effectively reducing noise in an image, and a recording medium storing a program for executing the method. The image processing apparatus includes a noise reduction unit configured to apply a noise reduction filter to first image data to obtain second image data; a first edge data obtaining unit configured to calculate edge data lost in the second image data compared with the first image data to obtain the first edge data; and a first synthesis unit configured to tune the first edge data and calculate third image data from the second image data and the tuned first edge data.

Abstract: A digital image processing apparatus has a tracking function for tracking a location variation of a set tracking area on a plurality of frame images. The digital image processing apparatus includes a similarity calculation unit that calculates a similarity by varying a location of a template on one frame image. The similarity calculation unit calculates a second direction similarity by fixing a first direction location of the template in a first direction on the one frame image and by varying a second direction location of the template in a second direction which is perpendicular to the first direction, and then calculates a first direction similarity by fixing the second direction location of the template at a location where the second direction similarity is the highest and by varying the first direction location of the template in the first direction on the one frame image.