TY - JFULL AU - Fahmi Kammoun and Mohamed Salim Bouhlel PY - 2007/10/ TI - A Perceptual Image Coding method of High Compression Rate T2 - International Journal of Computer and Information Engineering SP - 2903 EP - 2908 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/14648 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 9, 2007 N2 - 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 Peak Signal to Noise Ratio (PSNR) and a new evaluating criteria witch takes into account visual criteria. The experimental results illustrate that our technique shows improvement on image quality at the same compression ratio. ER -