6533b7cffe1ef96bd12597df

RESEARCH PRODUCT

Binarization of a super-resolving graytone pupil filter by digital halftoning

Manuel Martínez-corralTomasz CichockiMarek Kowalczyk

subject

business.industryComputer scienceBinary imageBinary numberImage processingFilter (signal processing)computer.file_formatAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsAdaptive filterFilter designComputer visionArtificial intelligenceElectrical and Electronic EngineeringRaster graphicsbusinesscomputerImpulse response

description

— Six digital-halftoning procedures, including one algorithm proposed by us, are compared to determine which one is best suited to binarization of a parabolic super-resolving pupil filter. The procedures we deal with include iterative, error-diffusion, error-convergence, and 1-pixel algorithms. We carry out a numerically simulated experiment in which an object that consists of either one point source or two coherent point sources is imaged in a 4f imaging system with either a continuous super-resolving parabolic filter or one of its six different binary versions. The performance of binary filters is examined in terms of two parameters: the resemblance of their amplitude impulse response (AIR) to the AIR of the original continuous filter, as well as the two-point Sparrow resolution criterion. We found that the best performance in terms of both figures of merit is achieved with the filter generated by means of one-weight error diffusion when the weight is randomly positioned and the algorithm is processed on a serpentine raster.

https://doi.org/10.1889/1.1984942