TY - GEN
T1 - Direct encoding for sampled color pictures with location consideration
AU - Lee, Chulhee
AU - Lee, Jaehoon
AU - Seo, Guiwon
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
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.
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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
T2 - 9th International Symposium on Advances in Visual Computing, ISVC 2013
Y2 - 29 July 2013 through 31 July 2013
ER -