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The International Conference on Information Technology: Coding and Computing (ITCC'00)
Dequantization Bias for JPEG Decompression
Las Vegas, Nevada
March 27-March 29
ISBN: 0-7695-0540-6
Jeffery R. Price, University of Tennessee
Majid Rabbani, Eastman Kodak Company
Standard JPEG decompression reconstructs quantized DCT coefficients to the center of the quantization bin. This fails to exploit the nonuniform distribution of the AC coefficients. Assuming a Laplacian distribution, we derive a maximum likelihood estimate of the Laplacian parameter, based on the quantized coefficients available at the decoder, and use this estimate to optimally bias the reconstruction levels during decompression. As a decoder enhancement, this technique is fully compatible with the JPEG standard and does not modify the JPEG compressed bit stream. Extensive simulations indicate that, at typical compression ratios, biased re-construction results in modest PSNR improvements - about 0.25 dB or higher - and slight subjective improvements, for little or no computational cost. Furthermore, simulations show that the PSNR improvements are very close (within 0.07 dB) to the best theoretically possible.
Citation:
Jeffery R. Price, Majid Rabbani, "Dequantization Bias for JPEG Decompression," itcc, pp.30, The International Conference on Information Technology: Coding and Computing (ITCC'00), 2000
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