Integer-valued images can be uniquely recovered from a minimal set of DFT coefficients through algebraic reduction to 1D problems and dynamic programming algorithms that use lattice approximation to handle NP-hard subproblems.
Stehlé, Floating-point lll: theoretical and practical aspects, in: The LLL Algorithm: survey and applications, Springer, 2009, pp
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Recovery of Integer Images from Minimal DFT Measurements: Uniqueness and Inversion Algorithms
Integer-valued images can be uniquely recovered from a minimal set of DFT coefficients through algebraic reduction to 1D problems and dynamic programming algorithms that use lattice approximation to handle NP-hard subproblems.