Multispectral Demosaicing Using Pseudo-Panchromatic Image

Mihoubi, Sofiane; Losson, Olivier; Mathon, Benjamin; Macaire, Ludovic

doi:10.1109/tci.2017.2691553

Cited by 88 publications

(57 citation statements)

References 27 publications

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“…Mihoubi et al [10] use the pseudo-panchromatic image (PPI) defined as the average of all channels of a multispectral image. Showing that spectral correlation between a given channel and the PPI is stronger than between-channel correlation, they estimate the PPI from the raw image and propose a demosaicing scheme based on PPI differences (PPID).…”

Section: A Multispectral Demosaicing Methodsmentioning

confidence: 99%

“…Showing that spectral correlation between a given channel and the PPI is stronger than between-channel correlation, they estimate the PPI from the raw image and propose a demosaicing scheme based on PPI differences (PPID). They also extend the binary tree-based edge-sensing (BTES) [18] and discrete wavelet transform (DWT) [19] demosaicing methods to IMEC MSFA in PPIBTES [20] and PPIDWT [10].…”

Section: A Multispectral Demosaicing Methodsmentioning

confidence: 99%

“…The component levels that miss at each pixel can be estimated by a process known as demosaicing to recover all channels in full definition. Demosaicing relies on two properties of multispectral images, namely spatial correlation between spatially close pixels within a channel, and spectral correlation between levels of different components at the same pixel [10].…”

Section: Introductionmentioning

confidence: 99%

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Illumination-robust multispectral demosaicing

Mihoubi

Mathon

Thomas

et al. 2017

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)

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Snapshot multispectral cameras that are equipped with filter arrays acquire a raw image that represents the radiance of a scene over the electromagnetic spectrum at video rate. These cameras require a demosaicing procedure to estimate a multispectral image with full spatio-spectral definition. Such a procedure is based on spectral correlation properties that are sensitive to illumination. In this paper, we first highlight the influence of illumination on demosaicing performances. Then we propose camera-, illumination-, and raw image-based normalisations that make demosaicing robust to illumination. Experimental results on state-of-the-art demosaicing algorithms show that such normalisations improve the quality of multispectral images estimated from raw images acquired under various illuminations.

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Section: A Multispectral Demosaicing Methodsmentioning

confidence: 99%

Section: A Multispectral Demosaicing Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Illumination-robust multispectral demosaicing

Mihoubi

Mathon

Thomas

et al. 2017

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)

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“…They assume that the number of sampled pixels differs at each band, and the most dense spectral band is interpolated with high priority than the other bands. Mihoubi et al [17] proposed a demosaicking method based on the correlation between each spectral band and a pseudo-panchromatic image (PPI), which represents the average image over all bands. We proposed a demosaicking method using vectorial total variation (VTV) regularization [18].…”

Section: Multispectral Filter Array Design and Demosaickingmentioning

confidence: 99%

“…This recovering process is referred to as demosaicking. Various filter array patterns and demosaicking methods [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] have been proposed for improving demosaicked image quality. Because the number of non-measured pixels in an MSFA is larger than that in an RGB Bayer color filter array, a more appropriate MSFA pattern and an accurate demosaicking method are required.…”

Section: Introductionmentioning

confidence: 99%

Snapshot multispectral polarization imaging using a photonic crystal filter array

Shinoda¹,

Ohtera²,

Hasegawa³

2018

Opt. Express

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A new filter array and a demosaicking method for snapshot multispectral polarization imaging are proposed in this paper. The proposed filter array is a thin-film wavy multilayer structure regarded as a photonic crystal that can be fabricated using the autocloning method. The multispectral polarization filter array is developed by altering the wave structure of the photonic crystal at each pixel. In addition, we propose a demosaicking method for multispectral polarization images by considering snapshot imaging as a linear model. In the experiments, we evaluated the recovered spectrum error in some color charts and showed various demosaicked images such as multispectral polarization images, specific-band degree of linear polarization images, polarized RGB images, and non-polarized RGB images.

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Point Operations

2023

Design for Embedded Image Processing on FPGAs

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Multispectral Demosaicing Using Pseudo-Panchromatic Image

Cited by 88 publications

References 27 publications

Illumination-robust multispectral demosaicing

Illumination-robust multispectral demosaicing

Snapshot multispectral polarization imaging using a photonic crystal filter array

Point Operations

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