Center for Embedded Network Sensing

One of the most important goals of current and future sensor networks is energy-efficient communication of images. This work presents a quantitative comparison between the energy costs associated with 1) direct transmission of uncompressed images and 2) sensor platform-based JPEG compression followed by transmission of the compressed image data. JPEG compression computations are mapped onto various resource-constrained sensor platforms using a design environment that allows computation using the minimum integer and fractional bit-widths needed in view of other approximations inherent in the compression process and choice of image quality parameters. Advanced applications of JPEG such as region of interest coding and successive/progressive transmission are also examined.