Image compression of Surface defects of the hot-rolled steelstrip using discrete Cosine Transform and Discrete Wavelet Transform

Type : Article de conférence
Auteur(s) :  Kadri Oussama, Adel BOUDIAF, Rachid Zaghdoudi, SlimaneZiani, Dehimi Said
Année :  2018
Domaine : Sciences et génie des matériaux
Conférence: The 3rdInternational Conference on Electromechanical Engineering ICEE’2018,
Lieu de la conférence:  Skikda
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Automatic quality control, Computer vision, image compression, Cosine transform, wavelets transform

Résumé : 

Automatic quality control of surface of hot rolled steel using computer vision systems is a real timeapplication, which requires highly efficient Image compression techniques in order to improve the data transmissionand storage capacity.In this work, two image compression methods are simulated. They are Discrete Cosine Transform(DCT) and Discrete Wavelet Transform (DWT).The results of simulation are shown that The Discrete WaveletTransform (DWT) technique given improved result compared with Discrete Cosine Transform (DCT).