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Remote Sensing Noise Reduction Using Minimum Patch Based on OMP

Published: 21 November 2016 Publication History

Abstract

In recent years, the technology of the remote sensing is growing rapidly. Image enhancement is one of most commonly used of image processing operations. Noise reduction plays very important role in digital image processing and various technologies have been locate ahead to reduce the noise of the remote sensing images. The noise reduction using wavelet coefficients based on Orthogonal Matching Pursuit (OMP) has less consequences on the edges than available methods but this is not as establish in edge preservation techniques. So in this paper we provide a new technique minimum patch based noise reduction OMP which reduce the noise from an image and used edge preservation patch which preserve the edges of the image and presents the superior results than existing OMP technique. Experimental results show that the proposed minimum patch approach outperforms over existing techniques.

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  • (2024)An unsupervised automatic organization method for Professor Shirakawa’s hand-notated documents of oracle bone inscriptionsInternational Journal on Document Analysis and Recognition10.1007/s10032-024-00463-027:4(583-601)Online publication date: 1-Dec-2024
  1. Remote Sensing Noise Reduction Using Minimum Patch Based on OMP

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      cover image ACM Other conferences
      ICSPS 2016: Proceedings of the 8th International Conference on Signal Processing Systems
      November 2016
      235 pages
      ISBN:9781450347907
      DOI:10.1145/3015166
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      Published: 21 November 2016

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      Author Tags

      1. Minimum Patch
      2. Noise Reduction
      3. OMP

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      ICSPS 2016 Paper Acceptance Rate 46 of 83 submissions, 55%;
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      • (2024)An unsupervised automatic organization method for Professor Shirakawa’s hand-notated documents of oracle bone inscriptionsInternational Journal on Document Analysis and Recognition10.1007/s10032-024-00463-027:4(583-601)Online publication date: 1-Dec-2024

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