The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Objective Quality Assessment of Tone-Mapped Images
Abstract
Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of HDR images on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has the best quality. Without an appropriate quality measure, different TMOs cannot be compared, and further improvement is directionless. Subjective rating may be a reliable evaluation method, but it is expensive and time consuming, and more importantly, is difficult to be embedded into optimization frameworks. Here we propose an objective quality assessment algorithm for tone-mapped images by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure on the basis of intensity statistics of natural images. Validations using independent subject-rated image databases show good correlations between subjective ranking score and the proposed tone-mapped image quality index (TMQI). Furthermore, we demonstrate the extended applications of TMQI using two examples-parameter tuning for TMOs and adaptive fusion of multiple tone-mapped images.
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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
Self-citationMultiscale structural similarity for image quality assessment
Wang, Z., Simoncelli, E. P., & Bovik, A. C. (2004) · The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003 · doi:10.1109/acssc.2003.1292216 · Cited by 6,253
Self-citationThe Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
Wang, Z., & Bovik, A. C. (2009) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.930649 · Cited by 3,175
Self-citationNatural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
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
Fast bilateral filtering for the display of high-dynamic-range images
Durand, F., & Dorsey, J. (2002) · Proceedings of the 29th annual conference on Computer graphics and interactive techniques · doi:10.1145/566570.566574 · Cited by 1,547
Photographic tone reproduction for digital images
Reinhard, E., Stark, M., Shirley, P., & Ferwerda, J. (2002) · Proceedings of the 29th annual conference on Computer graphics and interactive techniques · doi:10.1145/566570.566575 · Cited by 1,408
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting
Reinhard, E., Ward, G., Pattanaik, S., Debevec, P. E., Heidrich, W., & Myszkowski, K. (2010) · Cited by 1,359
Information content weighting for perceptual image quality assessment
Wang, Z., & Li, Q. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2092435 · Cited by 1,304
Self-citation
Cited by
Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset
Lv, F., Li, Y., & Lu, F. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-021-01466-8 · Cited by 319
Metadata
- Authors
- Yeganeh, H., & Wang, Z.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2013-02
- Volume
- 22
- Issue
- 2
- Pages
- 657-667
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W1976478698
- Cited by
- 630
- References
- 29
- FWCI
- 21.97
- Type
- journal article
- Language
- en
- Open access
- closed
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