Village Green Shopping Centre | Vernon's Premier Shopping Destination
Choice Made Simple!
Too many options?Click below to purchase an online gift card that can be used at participating retailers in Village Green Shopping Centre and continue your shopping IN CENTRE!Purchase Here
Coles Image Super-Resolution and Applications at Village Green Shopping Centre in Vernon, BC
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
This book is devoted to the issue of image super-resolution-obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there's 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 interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.
This book is devoted to the issue of image super-resolution-obtaining high-resolution images from single or multiple low-resolution images. Although there are numerous algorithms available for image interpolation and super-resolution, there's 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 interpolation. MATLAB codes for most of the simulation experiments supplied in the book are included in the appendix.
Find everything in-store including new, used and children’s books, music, movies, games and toys. Visit Coles today to find the perfect gift, or a novel for yourself. COVID-19 UPDATE: Open | Regular Centre Hours
