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An Overview of Grayscale Image Colorization Methods by ruanwensheng106 is a document available to read on EtoBox.
This paper provides an overview of methods for colorizing grayscale images, focusing on machine learning and deep learning techniques. It categorizes colorization methods into scribble-based, example-based, and deep learning approaches, highlighting their advantages and limitations. The findings indicate that deep learning methods offer superior quality and speed in automated colorization compared to traditional methods.
- Author
- ruanwensheng106
- Language
- EN