The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-quality linear interpolation for demosaicing of Bayer-patterned color images
Abstract
This paper introduces a new interpolation technique for demosaicing of color images produced by single-CCD digital cameras. We show that the proposed simple linear filter can lead to an improvement in PSNR of over 5.5 dB when compared to bilinear demosaicing, and about 0.7 dB improvement in R and B interpolation when compared to a recently introduced linear interpolator. The proposed filter also outperforms most nonlinear demosaicing algorithms, without the artifacts due to nonlinear processing, and a much reduced computational complexity.
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Cites
Color plane interpolation using alternating projections
Gunturk, B. K., Altunbasak, Y., & Mersereau, R. M. (2002) · IEEE Transactions on Image Processing · doi:10.1109/tip.2002.801121 · Cited by 621
Demosaicing: image reconstruction from color CCD samples
Kimmel, R. (1999) · IEEE Transactions on Image Processing · doi:10.1109/83.784434 · Cited by 472
Demosaicking methods for Bayer color arrays
Ramanath, R., Snyder, W. E., Bilbro, G. L., & Sander, W. A. (2002) · Journal of Electronic Imaging · doi:10.1117/1.1484495 · Cited by 289
Cited by
Toward Convolutional Blind Denoising of Real Photographs
Guo, S., Yan, Z., Zhang, K., Zuo, W., & Zhang, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00181 · Cited by 1,221
Plug-and-Play Image Restoration With Deep Denoiser Prior
Zhang, K., Li, Y., Zuo, W., Zhang, L., Van Gool, L., & Timofte, R. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3088914 · Cited by 1,113
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Zhang, K., Liang, J., Van Gool, L., & Timofte, R. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00475 · Cited by 760
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
Accelerator: using data parallelism to program GPUs for general-purpose uses
Tarditi, D., Puri, S., & Oglesby, J. (2006) · Proceedings of the 12th international conference on Architectural support for programming languages and operating systems · doi:10.1145/1168857.1168898 · Cited by 294
Metadata
- Authors
- Malvar, H. S., He, L.-W., & Cutler, R.
- Venue
- 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
- Publisher
- IEEE
- Published
- 2004-09-28
- Volume
- 3
- Pages
- iii-485-8
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2151502878
- Cited by
- 444
- References
- 3
- FWCI
- 8.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Malvar, H. S., He, L.-W., & Cutler, R. (2004). High-quality linear interpolation for demosaicing of Bayer-patterned color images. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/icassp.2004.1326587
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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.
