Adaptive homogeneity-directed demosaicing algorithm

By Keigo Hirakawa, T. Parks. Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003

347 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/5d9a46088548aa5101e54126508ac80f2df7d53a

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In Atomic and Molecular Physics, and Optics

In Computer Vision and Pattern Recognition

Citations in the corpus

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “All these methods require considerable A u t h o r ' s p e r s o n a l”
Directionlets: anisotropic multidirectional representation with separable filtering (2006, methodology): “Some other methods involve directionally adaptive processing in order to preserve edges in images [44; 55; 60; 61], whereas the methods proposed in [23; 24] impose DVM in either critically sampled or oversampled filter-banks.”
Exposing digital forgeries in color filter array interpolated images (2005, methodology): “CFA interpolation has been extensively studied and many methods have been proposed (see, for example, [13] for a survey, and [14], [15], [16] for more recent methods).”
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation (2019, methodology): “We ﬁnd that the Kodak algorithm [16] and AHD [17] perform roughly the same, so we choose the Kodak algorithm for which we have a more efﬁcient implementation.”
Multiframe demosaicing and super-resolution of color images (2006, methodology): “A different iterative implementation of the median filters is used as the enhancement step of the method described in [18] that take advantage of a homogeneity assumption in the neighboring pixels.”
Statistics of real-world hyperspectral images (2011, positive): “Our work is also motivated by studies of the joint spatial-color structure of trichromatic images (corresponding to human cone responses, or the standard RGB color space) [15, 19, 27, 32, 38], which may have implications for tasks such as demosaicking for efficient RGB image capture [14, 16] and com”
Color demosaicking by local directional interpolation and nonlocal adaptive thresholding (2011, methodology): “88. https://researchrepository.wvu.edu/faculty_publications/88 Color demosaicking by local directional interpolation and nonlocal adaptive thresholding Lei Zhang Xiaolin Wu Antoni Buades Xin Li Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 08/05/2013 Terms of Use:…”