Title :
Image interpolation based on image statistics: a case study
Author :
Sikora, Thomas ; Richardson, Paul
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
Two novel approaches to image interpolation aimed at video service interworking, layered image coding, and image zooming are discussed. Compared to conventional interpolation filters used for image interpolation, the schemes proposed take advantage of prior knowledge of image statistics to enhance their performance. Both methods, inverse Wiener filtering (IWF) and vector interpolation (VI), use image training sequences to estimate optimal interpolation parameters. While IWF has online capabilities for parameter estimation, VI parameters need to be designed in computer intense offline optimization procedures. Both IWF and VI methods achieve superior performance compared to standard linear interpolation filters in terms of signal-to-noise ratio of the interpolated images, as well as entropy of the residual errors
Keywords :
filtering and prediction theory; image coding; image sequences; interpolation; video signals; visual communication; entropy; image interpolation; image statistics; image training sequences; image zooming; inverse Wiener filtering; layered image coding; optimal interpolation parameters; parameter estimation; residual errors; signal-to-noise ratio; vector interpolation; video service interworking; Design optimization; Entropy; Image coding; Interpolation; Nonlinear filters; Parameter estimation; Signal to noise ratio; Statistics; Vectors; Wiener filter;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.271837
