Energy-Efficient Image Compression for Resource-Constrained Platforms

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 follow...

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Bibliographic Details
Published in:IEEE transactions on image processing 2009-09, Vol.18 (9), p.2100-2113
Main Authors: Dong-U Lee, Hyungjin Kim, Rahimi, M., Estrin, D., Villasenor, J.D.
Format: Article
Language:English
Subjects:
Applied sciences
Coding, codes
Compressing
Computation
Data compression
Detection, estimation, filtering, equalization, prediction
Discrete cosine transforms
Energy consumption
Energy efficiency
Exact sciences and technology
Fixed-point arithmetic
Image coding
Image communication
Image compression
Image processing
Image quality
Image sensors
Information, signal and communications theory
JPEG encoders-decoders
Platforms
Quantization
Sensors
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Transform coding
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Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2009.2022438