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Binary image synthesis using mixed linear integer programming.

S Sherif1, B Saleh, R De Leone

  • 1Dept. of Electr. and Comput. Eng., Wisconsin Univ., WI.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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Researchers developed a method to create optimal binary masks for distorting imaging systems. This technique compensates for image distortion by generating a desired binary output from a binary input mask.

Area of Science:

  • Optics and photonics
  • Computer vision
  • Image processing

Background:

  • Image transmission through distorting systems requires pre-compensation.
  • Binary images are often used in high-contrast detection systems.

Purpose of the Study:

  • To determine an optimal binary input mask that compensates for distortion in an incoherent diffraction-limited imaging system.
  • To achieve a desired prescribed binary output image from a binary input.

Main Methods:

  • Formulating the problem as a mixed linear integer program (MLIP).
  • Utilizing the branch and bound method to solve the MLIP for optimal mask determination.

Main Results:

  • A method for calculating the optimal binary mask was successfully developed.

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  • The method enables the generation of a specific binary output image by pre-altering the binary input.

    • Conclusions:

    • The developed MLIP approach effectively solves the problem of designing binary masks for distortion compensation.
    • This method offers a viable solution for pre-compensating image distortions in systems with binary output.