Abstract

To enable wireless internet and other data services using mobile appliances, there is a critical need to support content rich cellular data communication, including voice, text, image and video. However mobile communication of multimedia content has several bottlenecks including limited bandwidth of cellular networks, channel noise and battery constraints of the appliances. In this paper an efficient adaptive data codec for still images that can significantly minimize the energy required for wireless image communication in a narrowband system while meeting bandwidth constraints of wireless network, image quality and latency constrains of the wireless services is presented. Based on wavelet image compression an efficient wavelet Image compression algorithm (AEWICNBTS) for lossless compression of still images, enabling significant reduction in computation as well as communication energy needed with minimal degradation of image quality is proposed additionally, the wavelet image compression parameter that can be used to effect trade offs between the energy savings, quality of image and required communication bandwidth is identified. A dynamic configuration methodology that selects the optimal set of parameters to minimize energy under network service, appliance constrains is also presented.

Key words: Image compression, adaptive, lifting, narrow band, transmission system.