Low Bit Rate Image Coding Using Human Visual System Model

TitleLow Bit Rate Image Coding Using Human Visual System Model
Publication TypeConference Proceedings
Year of Conference2003
AuthorsTripathi S., Jain RC, Peres G
Conference NameInternational Conference on Advanced Computing and Communications (ADCOM-03)
Pagination142-150
KeywordsDept. of Electronics and communication Engineering.
Abstract

Embedded Zero Tree (EZW) coding, introduced by J.M Shapiro, is a very effective and computationally simple technique for image compression. Here we offer a technique which uses EZW and some simple blocks thereby increasing the compression ratio four times with a little degradation in Peak Signal to Noise ratio (PSNR) The proposed technique can be implemented without any change in the existing image coders by adding a Down Sampling Filter (DSF) and a Contrast Sensitivity Function (CSF) mask at the transmitter and a Up Sampling Filter (USF) at the receiver end. Besides improving the compression ratio the new method is about three times faster than the existing coding techniques.