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Quality-Aware Techniques for Reducing Power of JPEG Codecs

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Abstract

This paper presents use of bit truncation and voltage overscaling to reduce the power consumption of JPEG codecs. Both techniques introduce errors which have to be compensated to minimize quality degradation. To handle the errors due to bit truncation, we propose a compensation scheme based on unbiased estimation of the truncation noise. For 4-bit truncation, such a scheme achieves 23% power savings for DCT with only 0.6dB drop in PSNR. To compensate for errors due to aggressive voltage scaling, we introduce an algorithm-specific technique which is based on exploiting the characteristics of the quantized coefficients after zig-zag scan. This technique is very effective in improving the PSNR performance with a small circuit overhead. A combination of the two techniques help achieve even higher power savings with only a modest increase in PSNR. For instance, a combination of 4-bit truncation and operating voltage of 0.78V results in 44% power reduction for DCT with a 1.8dB drop in PSNR performance of the JPEG codec.

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Authors and Affiliations

  1. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA

    Yunus Emre & Chaitali Chakrabarti

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  1. Yunus Emre
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  2. Chaitali Chakrabarti
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Correspondence to Yunus Emre.

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This work was funded in part by NSF CSR0910699.

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Emre, Y., Chakrabarti, C. Quality-Aware Techniques for Reducing Power of JPEG Codecs. J Sign Process Syst 69, 227–237 (2012). https://doi.org/10.1007/s11265-012-0667-5

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  • DOI: https://doi.org/10.1007/s11265-012-0667-5

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