DocumentCode
1001015
Title
Holographic image representation with reduced aliasing and noise effects
Author
Dovgard, Roman
Author_Institution
Dept. of Appl. Math. & Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
Volume
13
Issue
7
fYear
2004
fDate
7/1/2004 12:00:00 AM
Firstpage
867
Lastpage
872
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;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2004.827228
Filename
1303640
Link To Document