1 July 2005 Computational models for fusion of texture and color: a comparative study
Author Affiliations +
Fusion of texture and color is to simulate color texture images that are perceptually very close to the actual ones. There are three computational models, i.e., gray-to-color mapping (GCM), color-to-color mapping (CCM), and dichromatic-based (DICH) models. The CCM model is extended to three methods, namely, CCM-RGB, CCM-LCH, and CCM-lαβ, when it is applied in different color spaces. The DICH model contains two methods: DICH-GC and DICH-CC, considering the original image can be either gray scale or color. The color fidelity of these six methods is comparatively investigated in terms of image similarity between simulated and target images.
© (2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hui-Liang Shen, Hui-Liang Shen, John H. Xin, John H. Xin, } "Computational models for fusion of texture and color: a comparative study," Journal of Electronic Imaging 14(3), 033003 (1 July 2005). https://doi.org/10.1117/1.1990007 . Submission:


BTF Potts compound texture model
Proceedings of SPIE (March 12 2015)
Midbrain volume segmentation using active shape models and LBPs
Proceedings of SPIE (September 25 2013)
Improving results of a simple RGB model for cameras using...
Proceedings of SPIE (September 15 1999)
3D BSM for face segmentation and landmarks detection
Proceedings of SPIE (February 04 2010)
Texture synthesis for SAR image simulation
Proceedings of SPIE (November 19 1998)

Back to Top