The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Transform-based image enhancement algorithms with performance measure
Abstract
This paper presents a new class of the "frequency domain"-based signal/image enhancement algorithms including magnitude reduction, log-magnitude reduction, iterative magnitude and a log-reduction zonal magnitude technique. These algorithms are described and applied for detection and visualization of objects within an image. The new technique is based on the so-called sequency ordered orthogonal transforms, which include the well-known Fourier, Hartley, cosine, and Hadamard transforms, as well as new enhancement parametric operators. A wide range of image characteristics can be obtained from a single transform, by varying the parameters of the operators. We also introduce a quantifying method to measure signal/image enhancement called EME. This helps choose the best parameters and transform for each enhancement. A number of experimental results are presented to illustrate the performance of the proposed algorithms.
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Cited by
Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images
Wang, S., Zheng, J., Hu, H.-M., & Li, B. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2261309 · Cited by 1,755
Transform coefficient histogram-based image enhancement algorithms using contrast entropy
Agaian, S. S., Silver, B., & Panetta, K. A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888338 · Cited by 575
Self-citationAquino, A., Gegúndez-Arias, M. E., & Marín, D. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2053042 · Cited by 516
Image enhancement using a contrast measure in the compressed domain
Tang, J., Peli, E., & Acton, S. (2003) · IEEE Signal Processing Letters · doi:10.1109/lsp.2003.817178 · Cited by 287
Human visual system-based image enhancement and logarithmic contrast measure
Panetta, K. A., Wharton, E. J., & Agaian, S. S. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2007.909440 · Cited by 267
Self-citation
Metadata
- Authors
- Agaian, S. S., Panetta, K., & Grigoryan, A. M.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2001-03
- Volume
- 10
- Issue
- 3
- Pages
- 367-382
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2116930408
- Cited by
- 411
- References
- 32
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- closed
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