ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Color filter arrays: design and performance analysis
IEEE Transactions on Consumer Electronics
Spatio-Spectral Color Filter Array Design for Optimal Image Recovery
IEEE Transactions on Image Processing
A Geometric Method for Optimal Design of Color Filter Arrays
IEEE Transactions on Image Processing
An Edge-Sensing Generic Demosaicing Algorithm With Application to Image Resampling
IEEE Transactions on Image Processing
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In this paper, we study the rendering of images with a new mosaic/color filter array (CFA) called the Burtoni mosaic. This mosaic is derived from the retina of the African cichlid fish Astatotilapia burtoni. To evaluate the effect of the Burtoni mosaic on the quality of the rendered images, we use two quality measures in the Fourier domain which are the resolution error and the aliasing error. In our model, no demosaicing algorithm is used, which makes it independent of such algorithms. We also use 11 semantic sets of color images in order to highlight the images classes that are well fitted for the Burtoni mosaic in the process of image acquisition. We have compared the Burtoni mosaic with the Bayer CFA and with an optimal CFA proposed by Hao et al. Experiments have shown that the Burtoni mosaic gives the best performances for images of 9 semantic sets which are the high frequency, aerial, indoor, face, aquatic, bright, dark, step and line classes.