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. © 2013 Springer-Verlag.
CITATION STYLE
Lee, C., Lee, J., & Seo, G. (2013). Direct encoding for sampled color pictures with location consideration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8034 LNCS, pp. 532–541). https://doi.org/10.1007/978-3-642-41939-3_52
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