Abstract
Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.
| Original language | English |
|---|---|
| Title of host publication | Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings |
| Pages | 532-541 |
| Number of pages | 10 |
| Edition | PART 2 |
| DOIs | |
| Publication status | Published - 2013 Nov 29 |
| Event | 9th International Symposium on Advances in Visual Computing, ISVC 2013 - Rethymnon, Crete, Greece Duration: 2013 Jul 29 → 2013 Jul 31 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 8034 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 9th International Symposium on Advances in Visual Computing, ISVC 2013 |
|---|---|
| Country | Greece |
| City | Rethymnon, Crete |
| Period | 13/7/29 → 13/7/31 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Direct encoding for sampled color pictures with location consideration. / Lee, Chul Hee; Lee, Jaehoon; Seo, Guiwon.
Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 2. ed. 2013. p. 532-541 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8034 LNCS, No. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Direct encoding for sampled color pictures with location consideration
AU - Lee, Chul Hee
AU - Lee, Jaehoon
AU - Seo, Guiwon
PY - 2013/11/29
Y1 - 2013/11/29
N2 - Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.
AB - Single image sensors with a color filter array (CFA) have been widely used in digital cameras, digital camcorders, and smart phones. These sensors generate sampled RGB color images and interpolation produces full resolution RGB color images. Typically, color format conversion is applied to convert the RGB images to Yuv images and these Yuv images are then encoded. However, the interpolation process followed by color format conversion increases the data size by 50~100%. In order to avoid this potential inefficiency, it was proposed to encode sampled RGB color images without interpolation. However, due to location mismatching, coding improvement has not been consistent. In this paper, we consider the location differences in intra-mode prediction and preliminary experiments show that consistent improvement was obtained.
UR - http://www.scopus.com/inward/record.url?scp=84888232035&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84888232035&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41939-3_52
DO - 10.1007/978-3-642-41939-3_52
M3 - Conference contribution
AN - SCOPUS:84888232035
SN - 9783642419386
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 532
EP - 541
BT - Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
ER -