title: Holographic image representation with reduced aliasing and noise effects.
abstract: This paper presents a novel holographic image representation which has a better reconstruction quality after cropping the hologram than any known representation today. Reconstructed images are very close to ideally low-pass filtered versions of the original image, almost without aliasing. We use the same test images which were used by Bruckstein et al. in [1], and show empirically that our method has smaller reconstruction errors, on all of them, than the errors produced by subsampling and Fourier transform methods presented in [1].
authors.affiliation: Department of Applied Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel. romad@netvision.net.il
authors.forename: Roman
authors.initials: R
authors.lastname: Dovgard
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D003196:Computer Graphics; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes