Title :
Holographic image representation with reduced aliasing and noise effects
Author_Institution :
Dept. of Appl. Math. & Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
fDate :
7/1/2004 12:00:00 AM
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. (see ibid., vol.,7, p.1583-97, 1998) 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 by Bruckstein et al.
Keywords :
Fourier transforms; holography; image reconstruction; image representation; low-pass filters; noise; Fourier transform; holographic image representation; low-pass filtered version; noise effects; reconstruction quality; reduced aliasing; Fourier transforms; Holography; Image reconstruction; Image representation; Image sampling; Indexing; Layout; Low pass filters; Noise reduction; Watermarking; Algorithms; Artifacts; Artificial Intelligence; Computer Graphics; Holography; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2004.827228