By Fathi E. Abd El-Samie,Mohiy M. Hadhoud,Said E. El-Khamy
This booklet is dedicated to the problem of picture super-resolution—obtaining high-resolution photos from unmarried or a number of low-resolution photographs. even supposing there are many algorithms to be had for picture interpolation and super-resolution, there’s been a necessity for a e-book that establishes a typical thread among the 2 methods. Filling this want, Image Super-Resolution and Applications offers photograph interpolation as a development block within the super-resolution reconstruction process.
Instead of drawing close snapshot interpolation as both a polynomial-based challenge or an inverse challenge, this e-book breaks the mildew and compares and contrasts the 2 techniques. It offers instructions for picture super-resolution: super-resolution with a priori info and blind super-resolution reconstruction of pictures. It additionally devotes chapters to the 2 complementary steps used to procure high-resolution pictures: photograph registration and picture fusion.
- Details innovations for colour snapshot interpolation and interpolation for trend recognition
- Analyzes picture interpolation as an inverse problem
- Presents photograph registration methodologies
- Considers photograph fusion and its software in photo great resolution
- Includes simulation experiments besides the mandatory MATLAB® code
Supplying whole insurance of image-super answer and its purposes, the publication illustrates functions for picture interpolation and super-resolution in clinical and satellite tv for pc picture processing. It makes use of MATLAB® courses to offer a number of recommendations, together with polynomial photo interpolation and adaptive polynomial snapshot interpolation. MATLAB codes for many of the simulation experiments provided within the e-book are incorporated within the appendix.
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