Graphcut Texture Synthesis for Single-Image Superresolution
Douglas Summers-Stay

TL;DR
This paper introduces a method for single-image superresolution by applying graphcut texture synthesis, which uses a low-resolution image as a constraint to generate high-resolution textures.
Contribution
It proposes a novel approach combining texture synthesis with superresolution using graphcut techniques and low-resolution constraints.
Findings
Effective high-resolution texture generation from low-resolution inputs
Improved superresolution quality over traditional methods
Versatile application to various textures
Abstract
Texture synthesis has proven successful at imitating a wide variety of textures. Adding additional constraints (in the form of a low-resolution version of the texture to be synthesized) makes it possible to use texture synthesis methods for texture superresolution.
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Taxonomy
TopicsAdvanced Image Processing Techniques · Computer Graphics and Visualization Techniques · Generative Adversarial Networks and Image Synthesis
