Example of two images of different dimensions,csh> ixconv img1 img2 IXCONV Version 1.8-0 The dimensions of both inputs are 20 by 20 CYCLIC - Do a cyclic deconvolution? /YES/ > OUT - Output dataset > corr Transforming first input... Transforming second input... Cross-correlating... Untransforming... The average of dataset 1 was 0.011572 The average of dataset 2 was 0.01182 DC_RESTORE - Add back in DC level? /YES/ >
csh> ixconv img1 img2_bit IXCONV Version 1.8-0 Dimensions of dataset 1 are 20 by 20 Dimensions of dataset 2 are 20 by 13 Dimensions are not same, so convolution will be non-cyclic OUT - Output dataset > icor Transforming first input... Transforming second input... Cross-correlating... Untransforming... The average of dataset 1 was 0.003507 The average of dataset 2 was 0.003047 DC_RESTORE - Add back in DC level? /YES/ > n