Energy-Efficient Wireless Image/Video Transmission
In general, the purpose of the energy-efficient transmission scheme being developed in MERL is to jointly adapt the source coding, channel coding and transmit power level of an image/video to channel conditions such that energy-consumption is minimized under a distortion constraint. We specifically study quality-progressive coded JPEG2000 images, which consists of multiple quality layers.
Background & Objective: Wireless communication has become very important in today's life. Currently, it is mainly used for speech and data transmission. Together with the deployment of 3G and beyond systems, visual communications consisting of high-resolution image and video will be widely demanded. However, transmission of video in mobile wireless networks carries many challenges such as energy constraint, bandwidth limitation, severe channel conditions with varying bit error rate (BER), error propagation in compressed bit stream. Â Â Energy consumption occurs due to computational complexities of source and channel coding and transmission of bit streams. The transmission energy cost depends on joules/bit at the transmitter and the size of the bit stream. Therefore, the schemes used for source and channel coding and the transmit power level determines overall energy consumption. The objective is to find the optimum set of coding schemes and transmit power level for each quality layer of a JPEG2000 image such that the overall energy consumption will be minimized under a distortion constraint.
Technical Discussion: We address channel adaptive wireless transmission of a quality progressive JPEG2000 images with minimum energy consumption under a quality of service (QoS) constraint. In particular, based on the motion JPEG2000 variable rate space frequency codes, we develop an optimal and efficient joint source-channel coding scheme with transmit power control to minimize the consumed energy for point-to-point transmission. Protection-redundancy and transmit power level for each generated quality layer is determined according to a receiver feedback. Received SNR is used for estimating channel condition.
Contact: Zafer Sahinoglu
Technology Area: Digital Communications
Modification Date: July 15, 2004
