Abstract
In this paper, we study the rendering of images with a new mosaic called the Burtoni mosaic. This mosaic, which is derived from the retina of the African cichlid fish Astatotilapia Burtoni, is parameterized by the sizes of the red, green and blue pixels, and by the distance between the pixels. To evaluate the effect of the Burtoni mosaic on the quality of a images, we use two signal processing quality measures (resolution and aliasing errors) and one perceptual quality measure (the structural similarity index measure, SSIM). We show that the use of the Burtoni mosaic results in less aliasing and better resolution than the usual vertical stripes or TV pattern. Also, the images obtained using the Burtoni mosaic are closer to the original images, in terms of the SSIM, than those obtained with the popular Bayer and TV mosaics. This result holds for both text and natural images.
This work was supported by the National Sciences and Engineering Research Council of Canada (NSERC), and by Bell Canada.
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Medjeldi, T., Horé, A., Ziou, D. (2009). Enhancement of the Quality of Images through Complex Mosaic Configurations. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_5
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DOI: https://doi.org/10.1007/978-3-642-02611-9_5
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