Research On Color Spectrum Characterization Method Of Liquid Crystal Display

It is often necessary to reproduce images on the display in daily life.However,when images obtained by photographing media are displayed on a display or when the same image is reproduced on different displays,different levels of color distortion problems may occur.One of the solutions is to perform color management of the device.Display characterization is one of the key-problems for color management,and display characterization methods are mainly divided into colorimetric characterization and color spectrum characterization.In this paper,the method of spectral characterization of LCD is studied,and two problems of colorimetric characterization are discussed.The GOG,PLCC and PLVC models were widely considered for this kind of applications in the literature.Explore the impact of training data types on model prediction accuracy and the realization of the PLVC inverse model.We first analyzed the model results of the three models,GOG,PLCC,and PLVC,using grayscale and pure color data when the number of sampling points is 3?18,33,65,129,and 256,respectively.It was found that training with grayscale data can achieve similar or better prediction results,especially the maximum color difference is small.At the same time,the results of the PLVC inverse model using fixed-point iteration method and Newton iteration method,the original value selection method and the PLCC model prediction method are compared.It is found that the fixed point iterative method may not converge when RGB is small,and the use of PLCC model to predict the initial value can reduce the number of non-convergence.Using Newton iteration method and PLCC model to predict the iteration can ensure the accuracy and reduce the model running time.Spectral characterization for display can reproduce color match in spectral,which has very important application for reproduction of spectral images.In this paper,the well-known GOG and PLCC models are proposed for spectral characterization for the liquid crystal displays.Though the GOG and PLCC models have been widely considered for the display characterization application,it seems that there is no discussions for the display spectral characterization in the literature.It is compared with the spectral radiance model based on wavelength partition(shorten for SRPM)for liquid crystal displays by Liu et al and the improved model proposed by Tian and Zhang et al.by considering piecewise partition in wavelength(shorten as SRPPM).It is first shown in this paper that the GOG and PLCC models can indeed be used for display spectral characterization under the assumptions of channel independence and colorimetric constancy for each channel.Performance of the proposed models together with SRPM and SRPPM models are considered using the three widely used professional displays: EIZO CG277,NEC PA271 Q,BENQ PG2401 and the ordinary LCD Lenovo LS224.At the same time,comparisons are also considered for the GOG and PLCC models trained using the pure red/green/blue color data and the grayscale(neutral point)data respectively.The comparison results have shown that both GOG and PLCC perform better trained using the grayscale(neutral point)data than those trained using the pure red/green/blue color data.Furthermore,the comparison results have also shown that PLCC model trained using the grayscale(neutral-point)data performs better than the SRPPM and GOG models according to both forward and inverse models.Especially,the inverse of the PLCC model is much simpler than the inverse of the SRPPM model.Hence the PLCC model is recommended for the LCD spectral characterization.The research results of this subject also provide a new idea for the development of the future display characterization model,which has certain reference significance.