Abstract
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 et al. 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. Likewise, our contribution also gave an improvement to the results gotten by Zhao et al.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
