This book is devoted to the issue of image super-resolutionaobtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, thereas 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 MATLABAr 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 MATLABAr programs to present various techniques, including polynomial image interpolation and adaptive polynomial image interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.... MATLABAr codes, 369a375 Cepstral pattern recognition, 102 Charge-coupled devices (CCDs), 1, 89 Classical image ... 102, 110, 111 Discrete transforms, feature extraction from, 106a110 Discrete wavelet transform (DWT), 102, 106a 109, 111 ... fusion with noise, 397a398 with noise and denoising, 398a399 of satellite images, 223a226, 392a393 wavelet fusion, ... 113a133 flower images, 155a158 landmines, 134a154 retinal images, 155 using MFCCs, 102a106 Feature matchinganbsp;...
|Title||:||Image Super-Resolution and Applications|
|Author||:||Fathi E. Abd El-Samie, Mohiy M. Hadhoud, Said E. El-Khamy|
|Publisher||:||CRC Press - 2012-12-15|