High-resolution radon multiple suppression,as opposed to standard least-squares radon methods, provides better focusing of events in the radon domain. This allows increased ability to distinguish between primaries and multiples, minimizing distortion by handling aliased multiples without the need for pre-interpolation. High resolution parabolic radon transform algorithm allow for user control over the computational detail involved with its inherent sparse solution.