Referenced Items are not available for this document.
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.
Published in:
Signal Processing Letters, IEEE
(Volume:19
,
Issue:
7
)
Date of Publication: July 2012
- Page(s):
- 423 - 426
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 12760689
- Digital Object Identifier :
- 10.1109/LSP.2012.2199980
- Product Type:
- Journals & Magazines
- Date of Publication :
- 17 May 2012
- Date of Current Version :
- 30 May 2012
- Issue Date :
- July 2012
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
