Abstract: This disclosure relates generally to image processing, and more particularly to generate a high resolution image from multiple low resolution images. In an embodiment, the system collects a plurality of low resolution images as input, processes the collected images, and generates a high resolution image as output. During this process, the system pre-processes the collected low resolution images, and during this process, at least one characteristic of each of the low resolution image is changed with respect to a reference image. After the pre-processing stage, the images are then enhanced based on a plurality of final enhancement factors that are dynamically determined. Further, the enhanced images are fused to generate the high resolution image.

Abstract: This disclosure relates generally to image processing, and more particularly to generate a high resolution image from multiple low resolution images. In an embodiment, the system collects a plurality of low resolution images as input, processes the collected images, and generates a high resolution image as output. During this process, the system pre-processes the collected low resolution images, and during this process, at least one characteristic of each of the low resolution image is changed with respect to a reference image. After the pre-processing stage, the images are then enhanced based on a plurality of final enhancement factors that are dynamically determined. Further, the enhanced images are fused to generate the high resolution image.

Abstract: Systems and methods for assessing damage in a damaged object are disclosed. The method comprises receiving visual data of the damaged object by a computing system. The visual data is converted into at least one Multi-Dimensional (MD) representation of the damaged object. The method further comprises identifying a first set of characteristic points in the at least one MD representation of the damaged object. The first set of characteristic points includes at least one subset of characteristic points, and each of the at least one subset of characteristic points substantially corresponds to a portion of the damaged object. The method furthermore comprises determining at least one first set of contour maps of the portion of the damaged object using the at least one MD representation. Using the first set of characteristic points and the at least one first set of contour maps, the damage in the damaged object is assessed.