A Color Management Method for Photographed Image Files

Abstract:

Color management method for photographed image files is the key to guarantee the color consistency in the succedent image production. Based on machine learning a new color management method for photographed image is advanced in the paper. First, the method selects the color shade districts of IT/8 color target as experiment sample and is taken to stand for the color space to decrease the calculation of the model. Second the method pretreats sampled data to a unitary field to satisfy the scope requirement of the input and output data of the BP neural network. Third, the active item which can adjust BP model step dynamically is used to increase convergence speed of the BP model. Finally, the experimental results indicates that the method can improve color conversion accuracy and can satisfy the engineering requirement in color management for photographed image files.

• Periodical: Advanced Materials Research (Volume 461)
• Pages: 615-619
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.461.615
• Online since: February 2012
• Authors: Han Kun Ye
• Keywords: Color Management, Machine Learning (ML), Photographed Image Files

References

[1] James K., Sigfredo N., Wil P.: Performing Color Space Conversions with Three-Dimensional Linear Interpolation. J. Elec. Imag. 4, 226-250(1995).

[2] David L.P., Christopher S. C.: An Evaluation of Methods for Producing Desired Colors on CRT Monitors. J. Col. Rese. and Appl. 4, 172-186(2007).

[3] Liu Q., Zhu Y.H.: Reproduction Function of Graduation True to Scenery. J. Tech. Univ. Surv. Mapp. 25, 464-466(2000).

[4] Qian G. L, Chen B, Shu W. H.: A Color Matching Method Based on Machine Learning. J. Sof. 11, 845-850(2008).

[5] Li X.W.: A New Error Correcting Model for Computer Scanning Input Image. J. Sci. Inst, 25, 498-500(2004).

[6] Yi S. : Global Optimization for NN Training. IEEE Com., 19, 45-54(2000).