Multichannel filtering by gradient information

نویسندگان

  • Rey-Sern Lin
  • Yung-Cheh Hsueh
چکیده

In this paper, multichannel image "ltering using local gradient information is studied and evaluated which is simpler and more appropriate than the traditional approaches that have been addressed by means of groupwise vector ordering information. Two adaptive weighted multichannel "lters based on local gradient information to noise removal in color images are introduced. The "rst proposed multichannel "lter is rather highly e!ective for Gaussian and Uniform noise removal in preserving good edges. The second proposed multichannel "lter is robust to Gaussian, Uniform, Impulse noise, and Gaussian noise mixed with outliers. ( 2000 Elsevier Science B.V. All rights reserved.

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عنوان ژورنال:
  • Signal Processing

دوره 80  شماره 

صفحات  -

تاریخ انتشار 2000