Solving jigsaw puzzles by computer
Annals of Operations Research
Solving the jigsaw puzzle problem in linear time
Applied Artificial Intelligence
Hadamard matrix analysis and synthesis: with applications to communications and signal/image processing
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
A global approach to automatic solution of jigsaw puzzles
Proceedings of the eighteenth annual symposium on Computational geometry
Canonical Frames for Planar Object Recognition
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A shape and image merging technique to solve jigsaw puzzles
Pattern Recognition Letters
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
A novel encryption method with associative approach for gray-scale images
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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The security problem of speech communication has always been a demanding problem in military and business areas. A common approach to realizing end-to-end security is the use of a scrambler. Most of the scramblers are based on permutation of speech signals in the time domain and/or frequency domain. On the other hand, descramblers are used to eavesdrop information from scrambled speech signals. In this paper we propose a new approach to implement a descrambler. We treat the descrambling problem as a puzzle solving problem. In this considered puzzle problem, each piece is a rectangular-shaped gray scaled image puzzle. We propose two different methods to assemble puzzles. While the first method is based on human heuristics, the second method is based on the Ant Colony System (ACS) algorithm. Sixty scambled images were used to test the proposed methods.