Filtering and data compression techniques for spatially-invariant image sequences

Approaches are considered for processing spatially invariant image sequences to enhance desired information and provide data compression. In such a sequence, all objects are positionally invariant in each image of the sequence but have varying gray-scale values. A true-color image, for example, can be viewed as a spatially invariant image sequence consisting of three gray-scale images that have been acquired using red, green, and blue filters. Objects with different spectral characteristics have different interimage signatures which are used to discriminate between them. Generation of a transform to maximize the signature energy ratio of desired to interfering processes provides a means for both filtering out undesired processes and compressing desired information.<>