The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Image enhancement using Exposure based Sub Image Histogram Equalization
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
Cites
Davies, A., & Fennessy, P. (2001) · Digital Imaging for Photographers · doi:10.1016/b978-0-240-51590-8.50007-x · Cited by 4,371
Contrast enhancement using brightness preserving bi-histogram equalization
Kim, Y.-T. (1997) · IEEE Transactions on Consumer Electronics · doi:10.1109/30.580378 · Cited by 1,586
Image enhancement based on equal area dualistic sub-image histogram equalization method
Wang, Y., Chen, Q., & Zhang, B. (1999) · IEEE Transactions on Consumer Electronics · doi:10.1109/30.754419 · Cited by 1,165
Minimum mean brightness error bi-histogram equalization in contrast enhancement
Chen, S.-D., & Ramli, A. R. (2003) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2003.1261234 · Cited by 994
Chen, S.-D., & Ramli, A. R. (2003) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2003.1261233 · Cited by 865
Der, C. S. (2012) · Digital Signal Processing · doi:10.1016/j.dsp.2012.04.002 · Cited by 89
Cited by
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
Yi, X., Xu, H., Zhang, H., Tang, L., & Ma, J. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01130 · Cited by 305
“For instance, gray transform [35, 14] and histogram equalization [5, 34] adjust the intensity distribution by linear or non-linear means.”
BackgroundImage Contrast and Color Enhancement Using Adaptive Gamma Correction and Histogram Equalization
Veluchamy, M., & Subramani, B. (2019) · Optik · doi:10.1016/j.ijleo.2019.02.054 · Cited by 169
Metadata
- Authors
- Singh, K., & Kapoor, R.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 36
- Pages
- 10-14
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2073751678
- Cited by
- 393
- References
- 6
- FWCI
- 24.53
- Type
- journal article
- 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: Image enhancement using Exposure based Sub Image Histogram Equalization. https://app.cochat.ai/papers/10.1016/j.patrec.2013.08.024
- The paper
- Singh, K., & Kapoor, R. (2014). Image enhancement using Exposure based Sub Image Histogram Equalization. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2013.08.024
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.
