Abstract
We develop reconfigurable mesh (RMESH) algorithms for window broadcasting, data shifts, and consecutive sum. These are then used to develop efficient algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N×N image is computed by an N×N RMESH in O(√B log√B(N/√B) for B<N, O(√N) for B = N, and O(√B) for N<B≤N2. B is the number of gray scale values. Histogram modification is done in O(√N) time by an N×N RMESH.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Parallel Processing |
Publisher | Publ by IEEE |
Pages | 425-432 |
Number of pages | 8 |
ISBN (Print) | 0818626720 |
State | Published - 1 Dec 1992 |
Event | Proceedings of the 6th International Parallel Processing Symposium - Beverly Hills, CA, USA Duration: 23 Mar 1992 → 26 Mar 1992 |
Publication series
Name | Proceedings of the International Conference on Parallel Processing |
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ISSN (Print) | 0190-3918 |
Other
Other | Proceedings of the 6th International Parallel Processing Symposium |
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City | Beverly Hills, CA, USA |
Period | 23/03/92 → 26/03/92 |
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Histogramming on a reconfigurable mesh computer. / Jenq, John; Sahni, Sartaj.
Proceedings of the International Conference on Parallel Processing. Publ by IEEE, 1992. p. 425-432 (Proceedings of the International Conference on Parallel Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Histogramming on a reconfigurable mesh computer
AU - Jenq, John
AU - Sahni, Sartaj
PY - 1992/12/1
Y1 - 1992/12/1
N2 - We develop reconfigurable mesh (RMESH) algorithms for window broadcasting, data shifts, and consecutive sum. These are then used to develop efficient algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N×N image is computed by an N×N RMESH in O(√B log√B(N/√B) for B<N, O(√N) for B = N, and O(√B) for N<B≤N2. B is the number of gray scale values. Histogram modification is done in O(√N) time by an N×N RMESH.
AB - We develop reconfigurable mesh (RMESH) algorithms for window broadcasting, data shifts, and consecutive sum. These are then used to develop efficient algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N×N image is computed by an N×N RMESH in O(√B log√B(N/√B) for B<N, O(√N) for B = N, and O(√B) for N<B≤N2. B is the number of gray scale values. Histogram modification is done in O(√N) time by an N×N RMESH.
UR - http://www.scopus.com/inward/record.url?scp=0026989610&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026989610
SN - 0818626720
T3 - Proceedings of the International Conference on Parallel Processing
SP - 425
EP - 432
BT - Proceedings of the International Conference on Parallel Processing
PB - Publ by IEEE
ER -