Abstract: A method for restoration of a captured image includes: blurring the captured image based on removing high spatial frequency content and maintaining colour characteristics of the captured image; generating a global colour attention map corresponding to the blurred captured image, where the global colour attention map indicates spatial representation of colour composition among regions within the blurred captured image; splitting the captured image into a plurality of patches; extracting one or more task features from the plurality of patches, where the one or more task features indicate characteristics related to a corresponding task; and generating stitched features corresponding to the plurality of patches, respectively, based on correlating the one or more task features and the global colour attention map, where the stitched features indicate an integrated representation of the captured image based on a global context and the corresponding task.

Abstract: A method for correcting a blur in media, may include: receiving an input image indicating a degraded document comprising text regions and non-text regions; generating a blur localization map from the input image to detect a presence of a plurality of blur regions in the text regions and the non-text regions; estimating a degree of blur in the text regions of the plurality of blur regions by generating a text blur estimation map, to deblur the text regions based on a corresponding level of degradations; and generating a blur attention map by fusing the blur localization map and the text blur estimation map to output a location and a strength of the blur in the text regions.

Abstract: An example electronic device includes a communication circuit; a memory; and at least one processor.