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Communication Dans Un Congrès Année : 2011

Image compression using the Iteration-Tuned and Aligned Dictionary

Résumé

We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the Iteration-Tuned and Aligned Dictionary (ITAD). The question of selecting the number of atoms used in the representation of each image block is addressed with a new, global (image-wide), rate-distorition-based sparsity selection criterion. We show experimentally that our codec outperforms JPEG2000 in both quantitative evaluations (by 0.9 dB to 4 dB) and qualitative evaluations.
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Dates et versions

hal-00647253 , version 1 (01-12-2011)

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Joaquin Zepeda, Christine Guillemot, Ewa Kijak. Image compression using the Iteration-Tuned and Aligned Dictionary. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Czech Republic. pp.793 - 796, ⟨10.1109/ICASSP.2011.5946523⟩. ⟨hal-00647253⟩
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