The DOI matches its Crossref record.
Blur determination in the compressed domain using DCT information
Abstract
The paper presents a simple yet robust measure of image quality in terms of global (camera) blur. It is based on histogram computation of non-zero DCT coefficients. The technique is directly applicable to images and video frames in compressed (MPEG or JPEG) domain and to all types of MPEG frames (I-, P- or B-frames). The resulting quality measure is proved to be in concordance with subjective testing and is therefore suitable for quick qualitative characterization of images and video frames.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
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
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features
Xue, W., Mou, X., Zhang, L., Bovik, A. C., & Feng, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2355716 · Cited by 641
A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation
Vu, P. V., & Chandler, D. M. (2012) · IEEE Signal Processing Letters · doi:10.1109/lsp.2012.2199980 · Cited by 271
No-reference perceptual image quality metric using gradient profiles for JPEG2000
Liang, L., Wang, S., Chen, J., Ma, S., Zhao, D., & Gao, W. (2010) · Signal Processing: Image Communication · doi:10.1016/j.image.2010.01.007 · Cited by 74
Metadata
- Authors
- Marichal, X., Ma, W.-Y., & Zhang, H.
- Venue
- Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348)
- Publisher
- IEEE
- Published
- 1999
- Pages
- 386-390 vol.2
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W1586882688
- Cited by
- 195
- References
- 0
- FWCI
- 1.17
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Blur determination in the compressed domain using DCT information. https://app.cochat.ai/papers/10.1109/icip.1999.822923
- The paper
- Marichal, X., Ma, W.-Y., & Zhang, H. (1999). Blur determination in the compressed domain using DCT information. Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348). https://doi.org/10.1109/icip.1999.822923
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.