Abstract: The current document is directed to digital-image-normalization methods and systems that generate accurate intensity mappings between the intensities in two digital images. The intensity mapping generated from two digital images is used to normalize or adjust the intensities in one image in order to produce a pair of normalized digital images to which various types of change-detection methodologies can be applied in order to extract differential data. Accurate intensity mappings facilitate accurate and robust normalization of sets of multiple digital images which, in turn, facilitates many additional types of operations carried out on sets of multiple normalized digital images, including change detection, quantitative enhancement, synthetic enhancement, and additional types of digital-image processing, including processing to remove artifacts and noise from digital images.

Abstract: The current document is directed to digital-image-normalization methods and systems that generate accurate intensity mappings between the intensities in two digital images. The intensity mapping generated from two digital images is used to normalize or adjust the intensities in one image in order to produce a pair of normalized digital images to which various types of change-detection methodologies can be applied in order to extract differential data. Accurate intensity mappings facilitate accurate and robust normalization of sets of multiple digital images which, in turn, facilitates many additional types of operations carried out on sets of multiple normalized digital images, including change detection, quantitative enhancement, synthetic enhancement, and additional types of digital-image processing, including processing to remove artifacts and noise from digital images.

Abstract: The current document is directed to methods and systems that overcome the image-comparison problems attendant with the human visual system by leveraging the motion-detection capabilities of the human visual system. Despite our visual system lacking automatic image-difference detection, our visual system does have an inherent ability to detect motion within our visual field and to direct our attention to this motion. This ability probably evolved as a result of the advantage provided by rapid detection of changes in our environment, including detection of the movement of predators or other threatening creatures, such as a snake in the bushes next to the campfire where we are eating. This method, usually referred to as “Flicker,” involves placing two images to be compared in the same location and rapidly alternating between them.