Image processing system,method and computer program product

摘要

To produce camera data α, #, #, A and Á (as defined in figure 3) for a sequence of images two images i and j are selected 500, from the sequence of images. A portion or sample, P, of pixels from the first image i of the two images is selected 502. The initial estimates of the camera image data parameters are set 504 as α i , # i , #', A and Á. The initial parameters are used to establish a first estimate of the matrix T (figure 4). The pixels of the sample P are transformed, using the current estimate of matrix T into the second image to produce a second set of sample pixels P'. The images i and j are compared 508,510 to determine the degree of similarity or alignment between them by determining the difference using the function #C where #C=(#)#((#r)2+(#g)2+(#b)2) for all N in which #r, #g, #b represent the differences between the colour components of the two images. A determination is made 512 as to whether a minimum of #C has been reached and if not the estimates of α i , # i , #', A and Á are altered in accordance with a Simplex method. Once a minimum has been reached the values of α, #, #, A and Á are stored. This process is then repeated for each pair of images in the sequence and an iterative process used on the processed frames to find the values of A and Á. These are then used in the above described process to find the values of α, # and #.