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Adaptive homogeneity-directed demosaicing algorithm

Hirakawa, K., Parks, T.W.·2005·IEEE Transactions on Image Processing

Abstract

A cost-effective digital camera uses a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. A way to reconstruct a full three-color representation of color images by estimating the missing pixel components in each color plane is called a demosaicing algorithm. This paper presents three inherent problems often associated with demosaicing algorithms that incorporate two-dimensional (2-D) directional interpolation: misguidance color artifacts, interpolation color artifacts, and aliasing. The level of misguidance color artifacts present in two images can be compared using metric neighborhood modeling. The proposed demosaicing algorithm estimates missing pixels by interpolating in the direction with fewer color artifacts. The aliasing problem is addressed by applying filterbank techniques to 2-D directional interpolation. The interpolation artifacts are reduced using a nonlinear iterative procedure. Experimental results using digital images confirm the effectiveness of this approach.

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Metadata

Authors
Hirakawa, K., & Parks, T. W.
Venue
IEEE Transactions on Image Processing
Published
2005-03
Volume
14
Issue
3
Pages
360-369
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2164734076
Cited by
439
References
0
FWCI
25.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive homogeneity-directed demosaicing algorithm. https://app.cochat.ai/papers/10.1109/tip.2004.838691
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Hirakawa, K., & Parks, T. W. (2005). Adaptive homogeneity-directed demosaicing algorithm. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2004.838691

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