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B ASED ON F RACTAL AND W AVELET T ECHNIQUES C OMPRESSION OF R ADIOGRAPHIC I MAGES OF W ELD D EFECTS

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Academic year: 2021

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(1)

C

OMPRESSION OF

R

ADIOGRAPHIC

I

MAGES OF

W

ELD

D

EFECTS

B

ASED ON

F

RACTAL AND

W

AVELET

T

ECHNIQUES

Faiza Mekhalfa*, Daoud Berkani**

*Centre de recherche en soudage & contrôle, Cheraga, Algeria.

** Ecole Nationale Polytechnique, El Harrach, Algeria.

Abstract— The necessity in image compression continuously grows during the last decade.

One of the most powerful and perspective approaches in this area is image compression using transform coding. Fractal image compression is based on the representation of an image by a contractive transform for which the fixed point is close to the original image. Wavelet transforms perform multi-resolution decomposition of images. Discrete wavelet Transform (DWT) retains frequency as well as spatial information of the signal. These structural advantages of the DWT schemes can lead to better visual quality for compression at low bitrate. In this work we evaluate the fractal coder in spatial and wavelet domain, and we investigate its ability to compress radiographic images of weld defects.

Key Words: Fractal Compression, Wavelet-Fractal Coder, Radiographic Image of Weld Defects.

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