A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation

Author

Vu, Phong V. ; Chandler, Damon M.

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA

Volume

19

Issue

7

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

423

Lastpage

426

Abstract

In this letter, we present a simple, yet effective wavelet-based algorithm for estimating both global and local image sharpness (FISH, Fast Image Sharpness). FISH operates by first decomposing the input image via a three-level separable discrete wavelet transform (DWT). Next, the log-energies of the DWT subbands are computed. Finally, a scalar index corresponding to the image´s overall sharpness is computed via a weighted average of these log-energies. Testing on several image databases demonstrates that, despite its simplicity, FISH is competitive with the currently best-performing techniques both for sharpness estimation and for no-reference image quality assessment.

Keywords

discrete wavelet transforms; image restoration; visual databases; DWT subbands; FISH; fast image sharpness; global image sharpness estimation; image database; image overall sharpness; input image decomposition; local image sharpness estimation; log-energies; no-reference image quality assessment; scalar index; three-level separable discrete wavelet transform; wavelet-based algorithm; Discrete wavelet transforms; Estimation; Feature extraction; Image edge detection; Indexes; Marine animals; Blur; image quality; local image sharpness; sharpness; wavelet;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2199980

Filename

6202326