Accueil > Informatique, science de l’information et bibliothéconomie > RIST > Volume 14 > Numéro 01

A Perceptual image coding method of high compression rate

Bouhlel Mohamed Salim, Brahim Khaled, Kammuon Fahmi

In the framework of the image compression by Wavelet Transforms, we propose a perceptual method by incorporating Human Visual System (HVS) characteristics in the quantization stage. Indeed, human eyes haven’t an equal sensitivity across the frequency bandwidth. Therefore, the clarity of the reconstructed images can be improved by weighting the quantization according to the Contrast Sensitivity Function (CSF). The visual artifact at low bit rate is minimized. To evaluate our method, we use the Pick Signal to Noise Ratio (PSNR) and a new evaluating metric witch takes into account visual criteria. The experimental results illustrate that our technique shows improvement on image quality at the same compression ratio.