Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing

• URL: http://arxiv.org/abs/2306.09039v1
• Date: Thu, 15 Jun 2023 10:59:29 GMT
• Title: Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing
• Authors: Zineddine Bettouche and Andreas Fischer
• Abstract summary: This study looks into several processing methods that include high-pass filtering, autoencoding, and vectorization to extract an abstract representation of an image. According to the findings, rebuilding an image with autoencoders, high-pass filtering it, and then vectorizing it can represent the image more abstractly while increasing the effectiveness of the vectorization process.
• Score: 0.6367279911825442
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: The process of transforming a raster image into a vector representation is known as image tracing. This study looks into several processing methods that include high-pass filtering, autoencoding, and vectorization to extract an abstract representation of an image. According to the findings, rebuilding an image with autoencoders, high-pass filtering it, and then vectorizing it can represent the image more abstractly while increasing the effectiveness of the vectorization process.

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