Image restoration fundamentals and advances / [electronic resource] :
edited by Bahadir K. Gunturk, Xin Li.
- Boca Raton, Fla. : CRC Press, 2013.
- xvii, 343 p. : ill.
- Digital imaging and computer vision series .
- Digital imaging and computer vision series. .
Includes bibliographical references and index.
1. Image denoising : past, present, and future / Xin Li -- 2. Fundamentals of image restoration / Bahadir K. Gunturk -- 3. Restoration in the presence of unknown spatially varying blur / Michal ?orel and Filip ?roubek -- 4. Image denoising and restoration based on nonlocal means / Peter van Beek, Yeping Su, and Junlan Yang -- 5. Sparsity-regularized image restoration : locality and convexity revisited / Weisheng Dong and Xin Li -- 6. Resolution enhancement using prior information / Hsin M. Shieh, Charles L. Byrne, and Michael A. Fiddy -- 7. Transform domain-based learning for super resolution restoration / Prakash P. Gajjar, Manjunath V. Joshi, and Kishor P. Upla -- 8. Super resolution for multispectral image classification / Feng Li ... [et al.] -- 9. Color image restoration using vector filtering operators / Rastislav Lukac -- 10. Document image restoration and analysis as separation of mixtures of patterns : from linear to nonlinear models / Anna Tonazzini, Ivan Gerace, and Francesca Martinelli -- 11. Correction of spatially varying image and video motion blur using a hybrid camera / Yu-Wing Tai and Michael S. Brown.
"Addressing a variety of applications, this book covers a wide range of topics pertaining to image restoration. Topics covered include image denoising, document image analysis, remote sensing applications, and image formation modeling. Content also addresses blind image restoration, iterative optimization techniques, learning-based image restoration, and non-local approach, as well as super-resolution, multi-spectral restoration, and video inpainting. Contributors from various countries help readers understand the essentials, the state of the art, and the research directions. The text features background material, mathematical content, a survey of the methods, examples, comparisons, and a bibliography. "-- "Digital Imaging and Computer Vision"--