Enhancement of the Quality of Images through Complex Mosaic Configurations

  • Authors:

  • Tayeb Medjeldi;Alain Horé;Djemel Ziou

  • Affiliations:

  • Laboratoire MOIVRE, Département d'Informatique, Faculté des Sciences, Université de Sherbrooke, Sherbrooke (Québec), Canada J1K 2R1;Laboratoire MOIVRE, Département d'Informatique, Faculté des Sciences, Université de Sherbrooke, Sherbrooke (Québec), Canada J1K 2R1;Laboratoire MOIVRE, Département d'Informatique, Faculté des Sciences, Université de Sherbrooke, Sherbrooke (Québec), Canada J1K 2R1

  • Venue:
  • ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.