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Applied Optics

Applied Optics


  • Vol. 37, Iss. 20 — Jul. 10, 1998
  • pp: 4437–4448

Wavelet-based image enhancement in x-ray imaging and tomography

Andrei V. Bronnikov and Gerrit Duifhuis  »View Author Affiliations

Applied Optics, Vol. 37, Issue 20, pp. 4437-4448 (1998)

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We consider an application of the wavelet transform to image processing in x-ray imaging and three-dimensional (3-D) tomography aimed at industrial inspection. Our experimental setup works in two operational modes–digital radiography and 3-D cone-beam tomographic data acquisition. Although the x-ray images measured have a large dynamic range and good spatial resolution, their noise properties and contrast are often not optimal. To enhance the images, we suggest applying digital image processing by using wavelet-based algorithms and consider the wavelet-based multiscale edge representation in the framework of the Mallat and Zhong approach [IEEE Trans. Pattern Anal. Mach. Intell. 14, 710 (1992)]. A contrast-enhancement method by use of equalization of the multiscale edges is suggested. Several denoising algorithms based on modifying the modulus and the phase of the multiscale gradients and several contrast-enhancement techniques applying linear and nonlinear multiscale edge stretching are described and compared by use of experimental data. We propose the use of a filter bank of wavelet-based reconstruction filters for the filtered-backprojection reconstruction algorithm. Experimental results show a considerable increase in the performance of the whole x-ray imaging system for both radiographic and tomographic modes in the case of the application of the wavelet-based image-processing algorithms.

© 1998 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(100.7410) Image processing : Wavelets
(110.6960) Imaging systems : Tomography

Original Manuscript: June 25, 1997
Revised Manuscript: March 23, 1998
Published: July 10, 1998

Andrei V. Bronnikov and Gerrit Duifhuis, "Wavelet-based image enhancement in x-ray imaging and tomography," Appl. Opt. 37, 4437-4448 (1998)

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