logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Novel Diffusionbased Models For Image Restoration And Interpolation 1st Ed Tudor Barbu

  • SKU: BELL-7151832
Novel Diffusionbased Models For Image Restoration And Interpolation 1st Ed Tudor Barbu
$ 31.00 $ 45.00 (-31%)

4.8

24 reviews

Novel Diffusionbased Models For Image Restoration And Interpolation 1st Ed Tudor Barbu instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 13.09 MB
Author: Tudor Barbu
ISBN: 9783319930053, 9783319930060, 3319930052, 3319930060
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Novel Diffusionbased Models For Image Restoration And Interpolation 1st Ed Tudor Barbu by Tudor Barbu 9783319930053, 9783319930060, 3319930052, 3319930060 instant download after payment.

This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art PDE-based image restoration and interpolation (inpainting) techniques, focusing on the latest advances in PDE-based image processing and analysis, and explores novel techniques involving diffusion-based models and variational schemes. The PDE and variational schemes clearly outperform the conventional approaches in these areas, and can successfully remove image noise and reconstruct missing or highly degraded regions, while preserving the essential features and avoiding unintended effects. The book addresses researchers and graduate students, but is also well suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the image processing models described, as well as mathematical treatments for the numerical approximation schemes of these differential models.

Related Products