Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.

Abstract: A method for modeling warp for registration of images includes receiving input warp data and performing a fitting process on the input warp data to produce at least one of reduced noise warp data or reduced noise warp uncertainty. The warp for the at least one of reduced noise warp data or reduced noise warp uncertainty is modeled with components including an offset that varies in time and a non-linear distortion that does not vary with time. The method also includes outputting at the least one of reduced noise warp data or reduced noise warp uncertainty.

Abstract: A method of enhancing an image includes increasing sampling rate of a first image to a target sampling rate to form an interpolated image. The method also includes processing a second image through a high pass filter to form a high pass features image, wherein the second image is at the target sampling rate. The method also includes extracting detail from the high pass features image relevant to the first image, merging the detail from the high pass features image with the interpolated image to form a prediction image at the target sampling rate, and outputting the prediction image.

Abstract: A method for modeling warp for registration of images includes receiving input warp data and performing a fitting process on the input warp data to produce at least one of reduced noise warp data or reduced noise warp uncertainty. The warp for at the at least one of reduced noise warp data or reduced noise warp uncertainty is modeled with components including an offset that varies in time and a non-linear distortion that does not vary with time. The method also includes outputting at the least one of reduced noise warp data or reduced noise warp uncertainty.

Abstract: A method of enhancing an image includes increasing sampling rate of a first image to a target sampling rate to form an interpolated image. The method also includes processing a second image through a high pass filter to form a high pass features image, wherein the second image is at the target sampling rate. The method also includes extracting detail from the high pass features image relevant to the first image, merging the detail from the high pass features image with the interpolated image to form a prediction image at the target sampling rate, and outputting the prediction image.

Abstract: There are disclosed imaging members wherein a chemical compound in a crystalline form is converted, at least partially, and preferably substantially completely or completely, to an amorphous form that has intrinsically a different color from the crystalline form. Also described are imaging methods utilizing the imaging members. The conversion of the compound from the crystalline form to an amorphous form can be effected by laser exposure.

Abstract: There are disclosed imaging members wherein a chemical compound in a crystalline form is converted, at least partially, and preferably substantially completely or completely, to an amorphous form that has intrinsically a different color from the crystalline form. Also described are imaging methods utilizing the imaging members. The conversion of the compound from the crystalline form to an amorphous form can be effected by laser exposure.