NDLI: Exact image reconstruction using a limited number of projection samples

Content Provider	IEEE Xplore Digital Library
Author	Kesidis, A.L. Papamarkos, N.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece (Kesidis, A.L.; Papamarkos, N.)
Abstract	A new method for the exact reconstruction of any grayscale image from a limited number of projection samples is proposed. The original image is projected into certain projection angles using a proper projection angle step and a proper number of ray samples on the projection axis. If these conditions are fulfilled the proposed method ensures that for each image pixel a characteristic sample exists which allows the determination of the pixel's grayscale value during the reconstruction phase. Thus, instead of calculating all the projection samples of the image on several projection angles, in the proposed method only a specific number of samples is required that equals the number of pixels in the original image. During the reconstruction procedure the characteristic samples are examined consequently starting from those corresponding to pixels further from the origin and continuing with the closer image pixels. This approach leads to significant reduction of memory and processing time requirements since a simple sequence of samples is used instead of all the data from the image projections.
Sponsorship	EURASIP - European Association for Signal Processing IEEE Signal Processing Soc
Starting Page	465
Ending Page	470
File Size	394097
Page Count	6
File Format	PDF
ISBN	953184061X
DOI	10.1109/ISPA.2003.1296942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Pixel Gray-scale Magnetic resonance imaging Reconstruction algorithms Circuit analysis computing Iterative algorithms Subspace constraints Computed tomography Computer vision
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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