The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
An SVD-based grayscale image quality measure for local and global assessment
Abstract
The important criteria used in subjective evaluation of distorted images include the amount of distortion, the type of distortion, and the distribution of error. An ideal image quality measure should, therefore, be able to mimic the human observer. We present a new grayscale image quality measure that can be used as a graphical or a scalar measure to predict the distortion introduced by a wide range of noise sources. Based on singular value decomposition, it reliably measures the distortion not only within a distortion type at different distortion levels, but also across different distortion types. The measure was applied to five test images (airplane, boat, goldhill, Lena, and peppers) using six types of distortion (JPEG, JPEG 2000, Gaussian blur, Gaussian noise, sharpening, and DC-shifting), each with five distortion levels. Its performance is compared with PSNR and two recent measures.
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Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
Fundamentals of digital image processing
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A universal image quality index
Wang, Z., & Bovik, A. C. (2002) · IEEE Signal Processing Letters · doi:10.1109/97.995823 · Cited by 5,757
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The effects of a visual fidelity criterion of the encoding of images
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“The objective measures include bivariate measures such as the mean-squared error (MSE) or -norm [3]–[6], measures mimicking the human visual system (HVS) [4], [7]–[35], and graphical measures [33], [36]–[43].”
BackgroundNumerical methods and software
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An SVD-based watermarking scheme for protecting rightful ownership
Liu, R., & Tan, T. (2002) · IEEE Transactions on Multimedia · doi:10.1109/6046.985560 · Cited by 995
Image Quality Assessment: From Error Measurement to Structural Similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · Cited by 881
No-reference perceptual quality assessment of JPEG compressed images
Wang, Z., Sheikh, H. R., & Bovik, A. C. (2003) · Proceedings. International Conference on Image Processing · doi:10.1109/icip.2002.1038064 · Cited by 834
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Cited by
Most apparent distortion: full-reference image quality assessment and the role of strategy
Larson, E. C., & Chandler, D. M. (2010) · Journal of Electronic Imaging · doi:10.1117/1.3267105 · Cited by 1,953
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
Chandler, D. M., & Hemami, S. S. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.901820 · Cited by 1,147
Perceptual image quality assessment: a survey
Zhai, G., & Min, X. (2020) · Science China Information Sciences · doi:10.1007/s11432-019-2757-1 · Cited by 655
Zhang, Y., Moorthy, A. K., Chandler, D. M., & Bovik, A. C. (2014) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.05.004 · Cited by 102
Metadata
- Authors
- Shnayderman, A., Gusev, A., & Eskicioglu, A. M.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2006-02
- Volume
- 15
- Issue
- 2
- Pages
- 422-429
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2167349140
- Cited by
- 323
- References
- 43
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- closed
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