Lucas, Luís F.R.Rodrigues, Nuno M. M.Faria, Sérgio M. M. deSilva, Eduardo A. B. daCarvalho, Murilo B. deSilva, Vitor M. M. da2025-11-052025-11-052010-09L. F. R. Lucas, N. M. M. Rodrigues, S. M. M. de Faria, E. A. B. da Silva, M. B. de Carvalho and V. M. M. da Silva, "Intra-prediction for color image coding using YUV correlation," 2010 IEEE International Conference on Image Processing, Hong Kong, China, 2010, pp. 1329-1332, doi: https://doi.org/10.1109/ICIP.2010.5653834.978-1-4244-7992-4978-1-4244-7994-81522-4880http://hdl.handle.net/10400.8/14524Article number - 5653834; Conference name - 2010 17th IEEE International Conference on Image Processing, ICIP 2010; Conference date - 26 September 2010 - 29 September 2010; Conference code - 83260EISBN - 978-1-4244-7994-8Fonte: https://www.researchgate.net/publication/221121772_Intra-prediction_for_color_image_coding_using_YUV_correlationLucas, Luís F.R. - Scopus ID: 36739640000In this paper we present a new algorithm for chroma prediction in YUV images, based on inter component correlation. Despite the YUV color space transformation for inter component decorrelation, some dependency still exists between the Y, U and V chroma components. This dependency has been previously used to predict the chrominance data from the reconstructed luminance. In this paper we show that a chrominance component can be more efficiently predicted by using the reconstructed data from both the luminance and the remaining chrominance signal. The proposed chroma prediction is implemented and tested using the Multidimensional Multiscale Parser (MMP) image encoding algorithm. It is shown that the new color prediction mode outperforms the originally proposed prediction methods. Furthermore, by using the new color prediction scheme, MMP is consistently better than the state-of-the-art H.264/AVC for coding both for the luminance and the chrominance image components.engColor Image CodingInter-Component CorrelationIntra PredictionRecurrent Pattern Matchingconference paper10.1109/icip.2010.56538342381-8549