IMAGE COMPRESSION USING THE ITERATION-TUNED AND ALIGNED DICTIONARY
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.
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 |
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