Browse Prior Art Database

Spatial Vertical Filtering of Image Data

IP.com Disclosure Number: IPCOM000041082D
Original Publication Date: 1987-Jul-01
Included in the Prior Art Database: 2005-Feb-02
Document File: 1 page(s) / 11K

Publishing Venue

IBM

Related People

Bellinghausen, JM: AUTHOR [+2]

Abstract

This article describes a technique for vertically filtering image data. The technique can be used in conjunction with horizontal thresholding to provide one pass thresholding of luminance data in an image processing system. The vertical filter removes transition pels associated with horizontal lines, removes noise and improves vertical correlation of luminance levels.

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Spatial Vertical Filtering of Image Data

This article describes a technique for vertically filtering image data. The technique can be used in conjunction with horizontal thresholding to provide one pass thresholding of luminance data in an image processing system. The vertical filter removes transition pels associated with horizontal lines, removes noise and improves vertical correlation of luminance levels.

Spatial vertical filtering is performed using four successive rows of previously captured image data: row n-1 (a history line); row n (the row being processed); row n+1 and row n+2. Four sequential tests are performed for each pel in a row. If any one test is satisfied, a filtered value for the current pel is computed before the next pel in the row is filtered. Assuming the current pel is at column m and row n, the captured luminance value of that pel is designated as Y(m,n) and the filtered luminance value is designated as Y'(m,n). K is a constant determined by an allowable noise level.

Disclosed anonymously.

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