Motion-Free Super-Resolution

ISBN-13: 9780387258904 / Angielski / Twarda / 2005 / 239 str.

Subhasis Chaudhuri; Joshi Manjunath

Opis

Motion-Free Super-Resolution is a compilation of very recent work on various methods of generating super-resolution (SR) images from a set of low-resolution images. The current literature on this topic deals primarily with the use of motion cues for the purpose of generating SR images. These cues have, it is shown, their advantages and disadvantages. In contrast, this book shows that cues other than motion can also be used for the same purpose, and addresses both the merits and demerits of these new techniques. Motion-Free Super-Resolution supersedes much of the lead author s previous edited volume, "Super-Resolution Imaging," and includes an up-to-date account of the latest research efforts in this fast-moving field. This sequel also features a style of presentation closer to that of a textbook, with an emphasis on teaching and explanation rather than scholarly presentation."

Recenzje

From the reviews:

"The authors introduce us to motionless or motion-free methods for super-resolution in this book. ... is written clearly, and presents its core topics in well-organized chapters. ... The basic theory of each chapter is clearly presented, and is developed in a step-by-step fashion that makes it easy to follow. This will be a good starting point for researchers who want to get involve in image super-resolution. I believe experienced researchers will also find this book useful for seeing the overall picture of the super-resolution problem." (Fatih Kurugollu, Computing Reviews, November, 2005)

Spis treści

1. Image Super-Resolution 2. Review of Current Status 3. Use of Defocus Cue; Introduction; Defocus Phenomenon; Low-resolution image formation; Modeling of Image and Scene Depth; MAP Estimation; Demonstration of Results; Discussions 4. Photometry Based Method; Introduction; Photometry and Scene Structure; Generalized Interpolation; Inconsistency handling; Super-resolution Estimation; Experimental Demonstration; Discussions 5. Blind Restoration of Photometric Observartions; Introduction; Blind Restoration; Observation Model; Joint Restoration and Structure Recovery; Demonstration; Discussions 6. Wavelet Based Method; Introduction; Single-Frame Super-Resolution; Wavelets and Multiresolution Analysis; Learning of Wavelet Coefficients; Super-resolution Restoration; Experimental Performance; Discussions 7. Use of Zoom Cue; Introduction; Problem Definition; Zoom Estimation; Super-resolving a Scene with a Known Model; Learning of Model Parameters; Experimental Demonstration; Discussions 8. Looking Ahead

Blurb

With the explosion of Internet technology and graphics engines, digital images are now everywhere.  Image capturing tools are all pervading - in our pockets to inside a satellite.  And although imaging applications demand an availability to high resolution images, such images are not picture perfect and may be lacking sufficient details.  This requires that these images be super-resolved for improved details.  How to achieve this is what constitutes research in the area of image super-resolution. 

Motion-Free Super-Resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene.  This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field.