A bpnn-based fast gamma correction method and device

Abstract

The invention discloses a fast Gamma correction method and device based on BPNN, comprising the steps of training a BPNN model to obtain an initial value prediction model, predicting an initial valueof a register using the initial value prediction model, determining a register value correction model and predicting and determining a correction value of an RGB register through the model. Through the data-based gamma correction method and device, the model is trained by back propagation neural network, based on the trained model, the data of a few test samples is collected and input into the trained BPNN model, the BPNN model determines the characteristics of the test samples according to these data, which is different from the test samples and can be related to the training samples, so thatthe determination of the initial value and the accurate value of the register is simple and efficient, and accurate prediction can be made. The trained model has the ability of autonomous learning and prediction, effectively overcomes the difficulty of obtaining the initial value of the traditional algorithm, and takes a long time to calibrate the approximation algorithm. The invention can quickly calibrate panel into Gamma, and improves the accuracy and efficiency.

Description

Technical field [0001] The present invention belongs to the technical field of machine learning and image processing, and more particularly, to a fast BPNN based Gamma correction method and apparatus. Background technique [0002] Gamma correction is a technique widely used in photography, video images and computer graphics; Gamma refers to the non-linearity between the electrical signal and the optical characterization of luminance gradation, generally a non-linear device such intrinsic photoelectric characteristics of the decision. In manufacturing, the variation due to different processes and materials used, the drive voltage of the OLED device Gamma curves differ, Gamma correction to bring considerable difficulty. [0003] Gamma correction refers to the intermediate gray values ​​to match changes Gamma monitor; reference figure 1 , Conventional long Gamma correction process includes a start correction, acquires RGB register initial value, using exact values ​​for the register...

AI Technical Summary

Problems solved by technology

[0004] For the above defects or improvement needs of the prior art, the present invention provides a fast Gamma correction method and device based on BPNN (BackPropagation Neural Net, reverse propagation neural network), the purpose of which is to solve the difficulty of obtaining the initial value of the register in the prior art , Determining the precise value of the register takes a long time

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