Isbn: 9781107001008 - partial differential equation methods for image inpainting (cambridge monographs on applied and computational mathematics, 29, band 29) (8 Ergebnisse)

Zustand: As New. Book is unread and has little to no wear to cover. Contents are immaculate. DJ has little wear.

Zustand: As New. Book is unread and has little to no wear. Contents are immaculate.

Zustand: As New. Book is unread and has little to no wear to cover. Contents are immaculate.

Zustand: As New. Book is unread and has little to no wear to cover. Contents are immaculate.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 272 pages. 9.13x6.57x1.11 inches. In Stock.

Zustand: New. This book introduces the mathematical concept of partial differential equations (PDEs) for virtual image restoration. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 272 pages, 69 b/w illus. 34 colour illus. 15 exercises. BIC Classification: PBKJ; PBWH; UGP. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 18. Weight in Grams: 558. . 2015. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate students in mathematics with an interest in image processing and mathematical analysis.…