Transform image coding with global thresholding: application to baseline JPEG

Authors:
Azza Ouled Zaid;Christian Olivier;Olivier Alata;Francois Marmoiton
Affiliations:
IRCOM-SIC, UMR-CNRS 6615, BP 30179, 86962 Futuroscope Chasseneuil Cedex, France;IRCOM-SIC, UMR-CNRS 6615, BP 30179, 86962 Futuroscope Chasseneuil Cedex, France;IRCOM-SIC, UMR-CNRS 6615, BP 30179, 86962 Futuroscope Chasseneuil Cedex, France;IRCOM-SIC, UMR-CNRS 6615, BP 30179, 86962 Futuroscope Chasseneuil Cedex, France
Venue:
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Year:
2003

Citing 4
Cited 0

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JPEG Still Image Data Compression Standard
Joint thresholding and quantizer selection for transform image coding: entropy-constrained analysis and applications to baseline JPEG

IEEE Transactions on Image Processing
An efficient algorithm for optimizing DCT quantization

IEEE Transactions on Image Processing

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Abstract

In this paper, we present an image-adaptive joint photographers expert group encoding algorithm that incorporates global thresholding based on the statistical information of the discrete cosine transform (DCT) coefficient distributions. These statistics are also used to construct rate/distortion-specific quantization tables with nearly optimal tradeoffs. Results on natural and SPOT images demonstrate that the proposed thresholding technique improves the reconstructed image quality compared to that provided by other DCT image coding schemes without thresholding.