Regularity-preserving image interpolation

Author

Carey, W. Knox ; Chuang, Daniel B. ; Hemami, Sheila S.

Author_Institution

Sony Electron. Inc., San Jose, CA, USA

Volume

8

Issue

9

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

1293

Lastpage

1297

Abstract

Assumptions about image continuity lead to oversmoothed edges in common image interpolation algorithms. A wavelet-based interpolation method that imposes no continuity constraints is introduced. The algorithm estimates the regularity of edges by measuring the decay of wavelet transform coefficients across scales and preserves the underlying regularity by extrapolating a new subband to be used in image resynthesis. The algorithm produces visibly sharper edges than traditional techniques and exhibits an average peak signal-to-noise ratio (PSNR) improvement of 2.5 dB over bilinear and bicubic techniques

Keywords

image processing; interpolation; wavelet transforms; average peak signal-to-noise ratio; bicubic techniques; bilinear techniques; decay; edges; image continuity; image resynthesis; oversmoothed edges; regularity; regularity-preserving image interpolation; subband; wavelet transform coefficients; wavelet-based interpolation method; Filtering; Finite difference methods; Image enhancement; Interpolation; Maximum a posteriori estimation; Nonlinear filters; PSNR; Polynomials; Spline; Wavelet transforms;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.784441

Filename

784441