Utvidet returrett til 31. januar 2024

Review of Multifrequency Channel Decompositions of Images and Wavelet Models

Om Review of Multifrequency Channel Decompositions of Images and Wavelet Models

This review provides a comprehensive overview of the use of wavelets in signal processing and image analysis. Written by a leading expert in the field, the paper covers topics such as wavelet transforms, multiresolution analysis, and applications of wavelets to image compression, denoising, and feature extraction. The review is aimed at researchers, engineers, and graduate students interested in signal processing and computer vision.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781019461440
  • Bindende:
  • Hardback
  • Sider:
  • 58
  • Utgitt:
  • 18. juli 2023
  • Dimensjoner:
  • 156x6x234 mm.
  • Vekt:
  • 263 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 23. november 2024

Beskrivelse av Review of Multifrequency Channel Decompositions of Images and Wavelet Models

This review provides a comprehensive overview of the use of wavelets in signal processing and image analysis. Written by a leading expert in the field, the paper covers topics such as wavelet transforms, multiresolution analysis, and applications of wavelets to image compression, denoising, and feature extraction. The review is aimed at researchers, engineers, and graduate students interested in signal processing and computer vision.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

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