Details

Autor(en) / Beteiligte

• Jing-Yu Cui
• Mathur, S
• Covell, M
• Kwatra, V
• Mei Han

Titel

Example-based image compression

Ist Teil von

• 2010 IEEE International Conference on Image Processing, 2010, p.1229-1232

Ort / Verlag

IEEE

Erscheinungsjahr

2010

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• The current standard image-compression approaches rely on fairly simple predictions, using either block- or wavelet-based methods. While many more sophisticated texture-modeling approaches have been proposed, most do not provide a significant improvement in compression rate over the current standards at a workable encoding complexity level. We re-examine this area, using example-based texture prediction. We find that we can provide consistent and significant improvements over JPEG, reducing the bit rate by more than 20% for many PSNR levels. These improvements require consideration of the differences between residual energy and prediction/residual compressibility when selecting a texture prediction, as well as careful control of the computational complexity in encoding.