Abstract
One of the key procedures in color image compression is to extract its region of interests (ROIs) and evaluate different compression ratios. A new non-uniform color image compression algorithm with high efficiency is proposed in this paper by using a biology-motivated selective attention model for the effective extraction of ROIs in natural images. When the ROIs have been extracted and labeled in the image, the subsequent work is to encode the ROIs and other regions with different compression ratios via popular JPEG algorithm. Furthermore, experiment results and quantitative and qualitative analysis in the paper show perfect performance when comparing with other traditional color image compression approaches.
| Original language | English |
|---|---|
| Title of host publication | Optoelectronic Imaging and Multimedia Technology |
| DOIs | |
| Publication status | Published - 2010 |
| Event | Optoelectronic Imaging and Multimedia Technology - Beijing, China Duration: 18 Oct 2010 → 20 Oct 2010 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 7850 |
| ISSN (Print) | 0277-786X |
Conference
| Conference | Optoelectronic Imaging and Multimedia Technology |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 18/10/10 → 20/10/10 |
Keywords
- Color image compression
- Extraction of ROIs
- Region of interests
- Visual attention mechanism
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Shao, X., Gao, K., Lv, L., & Ni, G. (2010). A new efficient method for color image compression based on visual attention mechanism. In Optoelectronic Imaging and Multimedia Technology Article 78501G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7850). https://doi.org/10.1117/12.869739