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Energy-Efficient Image Compression for Resource-Constrained Platforms

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5 Author(s)
Lee, D.-U. ; Electr. Eng. Dept., Univ. of California, Los Angeles, CA, USA ; Hyungjin Kim ; Rahimi, M. ; Estrin, D.
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One of the most important goals of current and future sensor networks is energy-efficient communication of images. This paper 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 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. Detailed experimental results examining the tradeoffs in processor resources, processing/transmission time, bandwidth utilization, image quality, and overall energy consumption are presented.

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Image Processing, IEEE Transactions on  (Volume:18 ,  Issue: 9 )