Deep learning-based image compression method applied to three-dimensional printing of furniture
An image compression and three-dimensional printing technology, applied in the field of image compression based on deep learning, can solve the problems of lack of three-dimensional or even multi-dimensional image coding methods, and can not meet the performance requirements of furniture texture patterns, etc., to improve resolution and reduce mean square error , the effect of reducing the memory footprint
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[0034] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0035] Such as figure 1 , 2 As shown, this embodiment provides a deep learning-based image compression method applied to three-dimensional printing of furniture, which specifically includes the following steps:
[0036] S1, collecting a large amount of image data with furniture texture patterns;
[0037] S2, performing quantization coding and convolution initialization on the collected image data;
[0038] S3, constructing a neural network model, iterating small batches of quantiz...
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