Abstract

This paper discusses a method of compressing three-dimensional biomedical images with losses, based on representing the data in the form of an octree. A modification of the method by geometrical normalization (equalization) of the image is proposed. It is shown that the proposed method has greater efficiency than the compression obtained when one exclusively uses the method based on an octree with losses but with a definite level of noise suppression.

© 2012 OSA

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  1. L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.
  2. R. Szeliski, “Rapid octree construction from image sequences,” CVGIP: Image Understand. 58, No. 1, 23 (1993).
    [CrossRef]
  3. R. A. Siddiqui, I. Celasun, and U. Bayazit, “Octree-based compression of volumetric and surface 3D point cloud data,” in Proceedings of the 13th International Conference on Virtual Systems and Multimedia, VSMM, 2007, pp. 278–282.
  4. P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
    [CrossRef] [PubMed]
  5. I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

2012 (1)

I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

1999 (1)

P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
[CrossRef] [PubMed]

1993 (1)

R. Szeliski, “Rapid octree construction from image sequences,” CVGIP: Image Understand. 58, No. 1, 23 (1993).
[CrossRef]

Bayazit, U.

R. A. Siddiqui, I. Celasun, and U. Bayazit, “Octree-based compression of volumetric and surface 3D point cloud data,” in Proceedings of the 13th International Conference on Virtual Systems and Multimedia, VSMM, 2007, pp. 278–282.

Celasun, I.

R. A. Siddiqui, I. Celasun, and U. Bayazit, “Octree-based compression of volumetric and surface 3D point cloud data,” in Proceedings of the 13th International Conference on Virtual Systems and Multimedia, VSMM, 2007, pp. 278–282.

Fox, P. T.

P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
[CrossRef] [PubMed]

Kochunov, P. V.

P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
[CrossRef] [PubMed]

Lancaster, J. L.

P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
[CrossRef] [PubMed]

Menier, C.

L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.

Potapov, A. S.

I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

Raffin, B.

L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.

Roch, J.-L.

L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.

Shcherbakov, O. V.

I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

Siddiqui, R. A.

R. A. Siddiqui, I. Celasun, and U. Bayazit, “Octree-based compression of volumetric and surface 3D point cloud data,” in Proceedings of the 13th International Conference on Virtual Systems and Multimedia, VSMM, 2007, pp. 278–282.

Soares, L.

L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.

Szeliski, R.

R. Szeliski, “Rapid octree construction from image sequences,” CVGIP: Image Understand. 58, No. 1, 23 (1993).
[CrossRef]

Zhdanov, I. N.

I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

CVGIP: Image Understand. (1)

R. Szeliski, “Rapid octree construction from image sequences,” CVGIP: Image Understand. 58, No. 1, 23 (1993).
[CrossRef]

Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki (1)

I. N. Zhdanov, A. S. Potapov, and O. V. Shcherbakov, “Method of compressing three-dimensional biomedical images, based on the representation of information in the form of an octree,” Nauch. Tekhn. Vest. Informats. Tekh. Mekh. Optiki 79, No. 3, 100 (2012).

NeuroImage (1)

P. V. Kochunov, J. L. Lancaster, and P. T. Fox, “Accurate high-speed spatial normalization using an octree method,” NeuroImage 10, 724 (1999).
[CrossRef] [PubMed]

Other (2)

L. Soares, C. Menier, B. Raffin, and J.-L. Roch, “Parallel adaptive octree carving for real-time 3D modeling,” in IEEE Virtual Reality Conference, 2007, pp. 273–274.

R. A. Siddiqui, I. Celasun, and U. Bayazit, “Octree-based compression of volumetric and surface 3D point cloud data,” in Proceedings of the 13th International Conference on Virtual Systems and Multimedia, VSMM, 2007, pp. 278–282.

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