Abstract:
An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation from the image by comparing a pre-defined full human body template and the detected human, generating a second human segmentation from the image, by inputting the image to an artificial intelligence trained model and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.
Abstract:
An electronic device and method are disclosed. The electronic device includes a memory and processor, which implements the method, including: obtaining image data for an image, set in the image a region of interest and a background region, using depth information, both including one or more sub-regions, determining respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions based on a first characteristic criterion and a second characteristic criterion, respectively, and processing the image to apply a bokeh effect to the plurality of pixels based on the respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions.
Abstract:
An apparatus for charging a battery of an electronic device is provided. The apparatus includes a battery configured to supply power to the electronic device; a charger configured to charge the battery according to a set charging voltage (V_SET) and a charging current (I_SET); and a controller configured to set the V_SET and the I_SET, and receive an output value of the charger or the battery during charging to re-set the V_SET if the output value corresponds to a pre-set reference range.
Abstract:
An electronic device and method are disclosed. The electronic device includes a memory and processor, which implements the method, including: obtaining image data for an image, set in the image a region of interest and a background region, using depth information, both including one or more sub-regions, determining respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions based on a first characteristic criterion and a second characteristic criterion, respectively, and processing the image to apply a bokeh effect to the plurality of pixels based on the respective bokeh characteristics for the one or more first sub-regions and the one or more second sub-regions.
Abstract:
Various embodiments disclose a method and apparatus for image correction. The apparatus includes at least one camera, a memory, and a processor. The processor is configured to obtain at least one image corresponding external objects using the at least one camera, identify depth information on the external objects using the at least one image, identify a first region, corresponding to a first external object having a first depth level related to the depth information, and a second region, corresponding to a second external object having a second depth level different from the first depth level. The processor is further configured to generate a first noise pattern by detecting noise included in the first region, perform bokeh processing on at least part of the second region, and generate a corrected image in which the first noise pattern has been at least incorporated into at least part of the bokeh-processed second region.