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A Novel Echoed Image Detection and Removal Technique in Real Images and Video Sequences

  • A. Amaar
  • E. M. Saad
  • I. Ashour
  • Mohamed Elzorkany
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 102)

Summary

Echo in real images and video is always a challenge, so echoed image detection and removal is an important task when dealing with image processing. In this paper, a new echoed image removal technique is presented to improve the quality of gray and color image in multimedia transmission. This approach depends on the concept of using autocorrelation technique to estimate the time delay and attenuation of echo in image. Then the proposed technique is applied to remove this echo and retrieve images without echo. In addition, the proposed scheme is applied to remove echo from video sequences. Simulation results show that the flexible echoed image removal technique which can remove echo from different types of images (e.g. gray, color, document, medical...) and video sequences.

Keywords

Original Image Video Sequence Color Image Real Image Rake Receiver 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • A. Amaar
    • 1
  • E. M. Saad
    • 1
  • I. Ashour
    • 1
  • Mohamed Elzorkany
    • 1
  1. 1.Electronics DepartmentNational Telecommunication Institute (NTI)

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