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Proceedings Paper

Single filters for combined image geometric manipulation and enhancement
Author(s): C. B. Chittineni
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Paper Abstract

This paper presents algorithms for simultaneous image geometric manipulation and enhancement. Single filters are developed for combined image translation, resizing, rotation, and enhancement of both single channel and multichannel/color images. Single filters have advantages for real time implementation and for minimizing artifacts produced by the sequential operations on the images. A filter structure is proposed for image sharpening, softening, blurring, and edge emphasis filtering. With the appropriate choice of the parameters, it is shown that the proposed structure can implement unsharp masking, local statistical filtering, and edge emphasis filtering. Image translation, resizing, and rotation geometric operations are combined with the structure in developing single filters. Closed form expressions are developed for real time implementation of the filters through lookup tables with different types of interpolations and for both linear and nonlinear enhancement kernels. A multichannel generalization of the algorithm is presented for simultaneous color image geometric manipulation and enhancement. Schemes are proposed for adapting the degree of enhancement based on local image information. The algorithm is applied for a number of electronic imaging applications and the evaluation results are presented.

Paper Details

Date Published: 8 April 1993
PDF: 11 pages
Proc. SPIE 1903, Image and Video Processing, (8 April 1993);
Show Author Affiliations
C. B. Chittineni, E.I. du Pont de Nemours & Co., Inc. (United States)

Published in SPIE Proceedings Vol. 1903:
Image and Video Processing
Majid Rabbani; M. Ibrahim Sezan; A. Murat Tekalp, Editor(s)

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