Title :
Predictive interpolation of remote sensing images using vector quantization
Author :
Takehana, Shinji ; Kashimura, M. ; Ozawa, Shinji
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Kanagawa, Japan
Abstract :
The authors propose a predictive interpolation method which can predict the intensity of a center unknown pixel solely from intensities of its adjacent known pixels. They obtain a smooth and reasonable high-resolution image from a low-resolution image and consider the appropriateness of the application of vector quantization to prediction in this study
Keywords :
image resolution; interpolation; prediction theory; remote sensing; vector quantisation; high-resolution image; predictive interpolation method; remote sensing images; vector quantization; Convolution; Image coding; Interpolation; Knowledge management; Lattices; Management training; Merging; Pixel; Remote sensing; Vector quantization;
Conference_Titel :
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0971-5
DOI :
10.1109/PACRIM.1993.407222
