The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Objective image quality measure derived from digital image power spectra
Abstract
An objective image quality measure based on the digital image power spectrum of normally acquired arbitrary scenes is developed. This image quality measure, which does not require imaging either designed targets or a constant scene, utilizes the previously known invariance property for the power spectra of arbitrary scenes. The measure incorporates a representation of the human visual system, a novel approach to account for directional differences in perspective (scale) for obliquely acquired scenes, and a filter developed to account for imaging system noise as specifically evidenced in the image power spectra. The primary application is to assess the quality of digital images relevant to the image task of detection, recognition, and identification of man-made objects from softcopy displayed versions of visible spectral region digital aerial images. Experimental verification is presented demonstrating very good correlation (r=0.9) of this objective quality measure with visual quality assessments.
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Cites
The effects of a visual fidelity criterion of the encoding of images
Mannos, J., & Sakrison, D. (1974) · IEEE Transactions on Information Theory · doi:10.1109/tit.1974.1055250 · Cited by 1,063
Cited by
Gray, R. M., & Neuhoff, D. L. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.720541 · Cited by 1,642
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
Ferzli, R., & Karam, L. J. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.2011760 · Cited by 758
Liu, Z., Blasch, E., Xue, Z., Zhao, J., Laganiere, R., & Wu, W. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.109 · Cited by 717
Statistical evaluation of image quality measures
Sankur, B. (2002) · Journal of Electronic Imaging · doi:10.1117/1.1455011 · Cited by 668
An SVD-based grayscale image quality measure for local and global assessment
Shnayderman, A., Gusev, A., & Eskicioglu, A. M. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.860605 · Cited by 323
Metadata
- Authors
- Nill, N. B.
- Venue
- Optical Engineering
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 1992
- Volume
- 31
- Issue
- 4
- Pages
- 813
- ISSN
- 0091-3286 (ISSN-L)
- OpenAlex
- W2082965189
- Cited by
- 175
- References
- 1
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nill, N. B. (1992). Objective image quality measure derived from digital image power spectra. Optical Engineering. https://doi.org/10.1117/12.56114
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