3D image quality measurement method based on deep learning
A technology of image quality and deep learning, applied in the field of image processing, can solve the problems of destroying the structural information of the original image and affecting the accuracy of stereoscopic image quality evaluation, so as to achieve the effect of improving reliability and accuracy and improving performance
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[0064] The present invention provides a new stereoscopic image quality evaluation method based on preprocessing the image into blocks, combined with the data set after principal component analysis and PCA dimension reduction, and then sending it into a multi-channel convolutional neural network. The algorithm proposed by the invention can more accurately and effectively evaluate the quality of stereoscopic images, and at the same time promote the development of stereoscopic imaging technology to a certain extent.
[0065] The invention proposes a stereoscopic image quality evaluation method based on convolutional neural network and principal component analysis. This method first performs region segmentation and principal component analysis (PCA) dimensionality reduction preprocessing on the image respectively, and then sends the obtained block data set and PCA dimensionality reduction data set into a multi-channel convolutional neural network; finally, the convolutional neural ...
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