Simulation of Multi-Scale Digital Holography in VR Scene
Due to the influence of the structural parameters of photoelectric sensors,light intensity and transmis-sion direction,the brightness and resolution of the hologram imaging may be reduced in the process of digital holo-graphic imaging.In order to improve the trueness of multi-scale digital holographic imaging,a new method in real-time VR scenes was proposed.Firstly,we calculated the significance of multi-scale digital image pixels by defining the probability function of pixel distribution.According to the distribution variance of pixel characteristics,we extrac-ted the pixels of multi-scale digital images.And then,we used the wavelet transform coefficients to identify the noise of multi-scale digital images.Based on the variance distribution of noise signals,we refined multi-scale digital ima-ges.Moreover,we built a denoising model based on the wavelet inverse transform,thus obtaining the denoised images.According to the multi-scale digital holographic imaging model,we could obtain the gradient field of image enhance-ment.In the real-time VR scene,we used the weighted fusion method to obtain the high-frequency detail components.Finally,based on the fusion rule,multi-scale digital images were generated.Experimental results show that the proposed method can generate VR images,and improve the trueness and clarity of images to more than 90%and 92%respectively.
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