Image Super-Resolution and Applications [Hardcover]

This book is devoted to the issue of image super-resolutionobtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, theres been a need for a book that establishes a common thread between the two processes. Filling this need, Image Super-Resolution and Applications presents image interpolation as a building block in the super-resolution reconstruction process.

Instead of approaching image interpolation as either a polynomial-based problem or an inverse problem, this book breaks the mold and compares and contrasts the two approaches. It presents two directions for image super-resolution: super-resolution with a priori information and blind super-resolution reconstruction of images. It also devotes chapters to the two complementary steps used to obtain high-resolution images: image registration and image fusion.

• Details techniques for color image interpolation and interpolation for pattern recognition



• Analyzes image interpolation as an inverse problem



• Presents image registration methodologies



• Considers image fusion and its application in image super resolution



• Includes simulation experiments along with the required MATLAB^? code

Supplying complete coverage of image-super resolution and its applications, the book illustrates applications for image interpolation and super-resolution in medical and satellite image processing. It uses MATLAB^? programs to present various techniques, including polynomial image interpolation and adaptive polynomial image intelSz