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PatchMatch: A Randomized Correspondence Algorithm for ...

PatchMatch: A Randomized Correspondence Algorithm for Structural Image EditingConnelly Barnes1 Eli Shechtman2,3 Adam Finkelstein1 Dan B Goldman21 Princeton University2 Adobe Systems3 University of Washington(a)original(b) hole+constraints(c) hole filled(d) constraints(e) constrained retarget(f) reshuffleFigure 1:Structural image editing. Left to right: (a) the original image; (b) a hole is marked (magenta) and we use line constraints(red/green/blue) to improve the continuity of the roofline; (c) the hole is filled in; (d) user-supplied line constraints for retargeting;(e) retargeting using constraints eliminates two columns automatically; and (f) user translates the roof upward using paper presents interactive image editing tools using a newrandomized Algorithm for quickly finding approximate nearest-neighbor matches between image patches.

algorithm requires very little extra memory beyond the original im-age, unlike previous algorithms that build auxiliary data structures to accelerate the search. Using typical settings of our algorithm’s parameters, the runtime is O(mMlogM) and the memory usage is O(M). Although this is the same asymptotic time and memory as

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