A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors: Solution method: A filtering-based preprocessing algorithm to discern selectively noise from relevant gray level spot structures of images, produced by high granularity detectors in HEP experiments, is proposed. It carries out a fine multiresolution survey of image through a multistep approach based on the Hierarchical Discrete Correlation (HDC) technique. A set of enhanced images generated by the original ones is produced and made available for further pattern recognition phases.