Abstract
Spectrum is the essence of color, which can retain the main information of color. Spectral color information is generally used in the liquid crystal displays (LCDs) color field. Color spectrum of LCDs is usually a very large file, but an appropriate compression method can significantly reduce the required storage space while minimizing the loss of information. In this paper, a color difference weighted principal component analysis (CDWPCA) method for LCDs spectral compression is proposed. First, we investigated the importance of wavelength to color information. Then, a weighted function considering wavelength change and human visual system is introduced into spectral compression. The performance of CDWPCA are tested by comparing the results of standard principal component analysis and other weighted function principal component analysis by compressing and reconstructing the test samples from the eigenvectors of different training samples. The results show that the proposed CDWPCA method can significantly improve the retention rate of color information in the compression process of principal component analysis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
