TY  - JOUR
T1  - Image Compression Via Embedded Coder in the Transform Domain
AU - , Samai Djamel AU - , Bedda Mouldi 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 6
SP  - 633
EP  - 639
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.633.639
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.633.639
KW  - Index terms-image coding
KW  -embedded coding
KW  -wavelet transform
KW  -discrete cosine transform
AB  - Embedded Zerotree Wavelet (EZW) coder has become very popular in image compression applications, owing to its simplicity and high coding efficiency. In this paper, we first illustrate the Shapiro algorithm (EZW). In second, we combine the Discrete Cosine Transform (DCT) with an embedded zerotree quantizer in order to obtain the Xiong <I>et a</I>l. algorithm (EZDCT). Our aim is to improve the bit rate gotten by EZDCT algorithm while changing the resolution level and to make a comparison with the EZW algorithm. The experiments show that the DCT-based embedded image coder gives higher Peak Signal-to-Noise (PSNR) than Joint Photographic Expert Group (JPEG) and almost similar than Shapiro’s EZW coder.
ER  -