Abstract: An electronic device is provided. The electronic device includes a camera module and an image processing module. The image processing module may obtains a first image and a second image for the scene including a first object and a second object, identifies a first motion amount corresponding to the first object and a second motion amount corresponding to the second object using the first image and the second image, and applies different effects to a first image area corresponding to the first object and a second image area corresponding to the second object, at least, based on the first motion amount and the second motion amount.

Abstract: A method is provided including: capturing a first set of images, wherein each one of the first set of images is captured in accordance with a different value of a camera setting; generating a second set of reduced images, wherein each of the second set of reduced images is a reduced version of a respective one of the first set of images; generating, by an electronic device, a third set of composite images, wherein each one of the third set of composite images is generated by HDR-compositing the second set of reduced images in accordance with a different weight-ratio; receiving a selection of a first composite image, the first composite image being part of the third set of composite images; and storing a second composite image, the second composite image being generated by HDR-compositing the first set of images in accordance with a weight ratio associated with the first composite image.

Abstract: A method of automatically focusing on a region of interest (ROI) by an electronic device is provided. The method includes extracting at least one feature from at least one candidate ROI in a field of view (FOV) in the electronic device, displaying at least one indicia for the at least one candidate ROI based on the at least one feature, receiving a selection of at least one ROI from among the at least one candidate ROI for which the at least one indicia is displayed; and focusing on the at least one ROI according to the selection.

Abstract: An electronic device is provided. The electronic device includes a camera module and an image processing module. The image processing module may obtains a first image and a second image for the scene including a first object and a second object, identifies a first motion amount corresponding to the first object and a second motion amount corresponding to the second object using the first image and the second image, and applies different effects to a first image area corresponding to the first object and a second image area corresponding to the second object, at least, based on the first motion amount and the second motion amount.

Abstract: A method and apparatus are provided for enhancing the local dynamic range of an image using the contents of exposure bracketed image set without affecting overall dynamic range of the image. The method allows a user to select at least one region of a reference image for enhancement after receiving the reference image from the user. Further the method comprises segmenting the reference image by using exposure weights, and selects an enhancement support image from an exposure bracketed image set. Furthermore the method determines weight maps of reference and enhancement support images and generates dynamic range enhanced reference image using determined weight maps.

Abstract: A method and an image capturing device configured to generate a defocused image from a reference image and one or more of focal bracketed images to provide an artificially defocused blurred image. The artificially defocused blurred image is a fusion image composed by processing the reference image and one or more of focal bracketed images to provide a clear foreground with gradual blurred background based on a created depth map. The method is time efficient as it provides faster processing on a captured and down sampled reference image and one or more captured down sampled aligned focal bracketed images. The depth map created using region based segmentation reduces a misclassification at a time of classifying foreground-background and misclassification of pixels to provide fast, robust artificial blurring of background in the captured reference image.

Abstract: A method is provided including: capturing a first set of images, wherein each one of the first set of images is captured in accordance with a different value of a camera setting; generating a second set of reduced images, wherein each of the second set of reduced images is a reduced version of a respective one of the first set of images; generating, by an electronic device, a third set of composite images, wherein each one of the third set of composite images is generated by HDR-compositing the second set of reduced images in accordance with a different weight-ratio; receiving a selection of a first composite image, the first composite image being part of the third set of composite images; and storing a second composite image, the second composite image being generated by HDR-compositing the first set of images in accordance with a weight ratio associated with the first composite image.

Abstract: A method and apparatus are provided for enhancing the local dynamic range of an image using the contents of exposure bracketed image set without affecting overall dynamic range of the image. The method allows a user to select at least one region of a reference image for enhancement after receiving the reference image from the user. Further the method comprises segmenting the reference image by using exposure weights, and selects an enhancement support image from an exposure bracketed image set. Furthermore the method determines weight maps of reference and enhancement support images and generates dynamic range enhanced reference image using determined weight maps.