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IMAGE COMPRESSION USING THE ITERATION-TUNED AND ALIGNED DICTIONARY

Full Paper at IEEE Xplore

Image Coding

Presented by: Joaquin Zepeda, Author(s): Joaquin Zepeda, Christine Guillemot, Ewa Kijak, INRIA, France

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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  Lecture Information

Recorded: 2011-05-24 10:35 - 10:55, Club A
Added: 18. 6. 2011 01:55
Number of views: 17
Video resolution: 1024x576 px, 512x288 px
Video length: 0:17:37
Audio track: MP3 [5.94 MB], 0:17:37