Histogramming on a reconfigurable mesh computer

Jing Fu Jenq; Sartaj Sahni

doi:10.1080/10637199308915440

Histogramming on a reconfigurable mesh computer

Jing Fu Jenq, Sartaj Sahni

Computer Science

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

We develop efficient reconfigurable mesh (RMESH) algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N x N image is computed by an N x N RMESH in O(√Blog_√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 x N RMESH.

Original language	English
Pages (from-to)	179-190
Number of pages	12
Journal	Parallel Algorithms and Applications
Volume	1
Issue number	3
DOIs	https://doi.org/10.1080/10637199308915440
State	Published - 1 Jan 1993

Keywords

Histogram
Image processing
Parallel algorithms
Reconfigurable mesh computer

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10.1080/10637199308915440

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abstract = "We develop efficient reconfigurable mesh (RMESH) algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N x N image is computed by an N x N RMESH in O(√Blog√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 x N RMESH.",

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author = "Jenq, \{Jing Fu\} and Sartaj Sahni",

year = "1993",

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AB - We develop efficient reconfigurable mesh (RMESH) algorithms to compute the histogram of an image and to perform histogram modification. The histogram of an N x N image is computed by an N x N RMESH in O(√Blog√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 x N RMESH.

KW - Histogram

KW - Image processing

KW - Parallel algorithms

KW - Reconfigurable mesh computer

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ER -

Histogramming on a reconfigurable mesh computer

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Keywords

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