Hybrid color filter array demosaicking for effective artifact suppression

Chang, Lanlan; Tan, Yap‐Peng

doi:10.1117/1.2183325

Cited by 30 publications

(24 citation statements)

References 15 publications

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“…The directional filtering and a posteriori decision (DFPD) proposed by Menon et al [13] is in terms of two classifiers which are the sum of the gradients in a 5 × 5 neighbourhood in horizontal and vertical directions, respectively. Chang and Tan [22] further find that the zipper effect is principally caused by improper interpolation in the G plane. The errors in the G plane can also be propagated to the R and B planes, whereas the R and B planes are reconstructed by interpolating in the colour difference planes.…”

Section: Observations On the Colour Artefactsmentioning

confidence: 95%

Colour demosaicking with directional filtering and weighting

2012

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Digital cameras usually use a single sensor covered with a colour filter array which samples only one colour at the location of each pixel. Restoring a full-colour image by the demosaicking technique is a key task in the digital imaging pipeline. This study proposes a novel demosaicking approach based on the existing directional filtering and weighting techniques. The contributions of this study are two-fold. First, the authors analyse the advantages and limitations of the existing directional filtering and weighting techniques, and improve the two existing techniques in order to suppress the common demosaicking artefacts. Second, the authors give a new estimated scheme for the reconstruction of the colour components. The experimental results show that the proposed method outperforms the recent six state-of-the-art demosaicking methods in terms of both subjective and objective measures.

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Section: Observations On the Colour Artefactsmentioning

confidence: 95%

Colour demosaicking with directional filtering and weighting

2012

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“…For example, the visible color fringes and some roughness appear around abrupt edge regions such as text or letters. The artifacts appear due to abrupt hue change around color discontinuities, called false colors [2,5,6].…”

Section: Purple Fringingmentioning

confidence: 99%

“…Color artifacts not shown in an image obtained from an analog camera appear in an image from a digital camera. In a digital camera, the causes of color artifacts are due to characteristics of an image sensor or an optical device [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Detection and correction of purple fringing using color desaturation in the xy chromaticity diagram and the gradient information

Kim

Park

2010

Image and Vision Computing

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“…The MSE of the optimal estimate is (9) Obviously, is less than either of and . The remaining task is to estimate , and .…”

Section: Linear Minimum Mean-square Fusion Of Intra-and Interbanmentioning

confidence: 99%

“…But this approach is only applicable to digital video cameras. Chang and Tan also observed that some demosaicking methods tended to produce artifacts in areas of weak spectral correlation [8], [9], and proposed a technique called EUSSC (effective use of spatial and spectral correlations). This is essentially an approach of demosaicking a CFA image into two estimated color images, under the assumptions of strong and weak spectral correlation, respectively.…”

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confidence: 99%

Robust Color Demosaicking With Adaptation to Varying Spectral Correlations

Fan

Yang

et al. 2009

IEEE Trans. on Image Process.

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Abstract-Almost all existing color demosaicking algorithms for digital cameras are designed on the assumption of high correlation between red, green, blue (or some other primary color) bands. They exploit spectral correlations between the primary color bands to interpolate the missing color samples, but in areas of no or weak spectral correlations, these algorithms are prone to large interpolation errors. Such demosaicking errors are visually objectionable because they tend to correlate with object boundaries and edges. This paper proposes a remedy to the above problem that has long been overlooked in the literature. The main contribution of this work is a hybrid demosaicking approach that supplements an existing color demosaicking algorithm by combining its results with those of adaptive intraband interpolation. This is formulated as an optimal data fusion problem, and two solutions are proposed: one is based on linear minimum mean-square estimation and the other based on support vector regression. Experimental results demonstrate that the new hybrid approach is more robust and eliminates the worst type of color artifacts of existing color demosaicking methods.Index Terms-Autoregressive model, color demosaicking, color saturation, digital cameras, linear minimum mean-square estimation (LMMSE), support vector regression (SVR).

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Hybrid color filter array demosaicking for effective artifact suppression

Cited by 30 publications

References 15 publications

Colour demosaicking with directional filtering and weighting

Colour demosaicking with directional filtering and weighting

Detection and correction of purple fringing using color desaturation in the xy chromaticity diagram and the gradient information

Robust Color Demosaicking With Adaptation to Varying Spectral Correlations

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