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Cited by 472

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Demosaicing: image reconstruction from color CCD samples

Kimmel, R.·1999·IEEE Transactions on Image Processing

Abstract

A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive steps. The first is motivated by Cok's template matching technique, while the second step uses steerable inverse diffusion in color. Classical linear signal processing techniques tend to oversmooth the image and result in noticeable color artifacts along edges and sharp features. The question is how should the different color channels support each other to form the best possible reconstruction. Our answer is to let the edges support the color information, and the color channels support the edges, and thereby achieve better perceptual results than those that are bounded by the sampling theoretical limit.

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Metadata

Authors
Kimmel, R.
Venue
IEEE Transactions on Image Processing
Published
1999
Volume
8
Issue
9
Pages
1221-1228
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2140573010
Cited by
472
References
5
FWCI
10.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Demosaicing: image reconstruction from color CCD samples. https://app.cochat.ai/papers/10.1109/83.784434
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Kimmel, R. (1999). Demosaicing: image reconstruction from color CCD samples. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.784434

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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.