CVJun 21, 2017

Graphcut Texture Synthesis for Single-Image Superresolution

arXiv:1706.06942v1
Originality Synthesis-oriented
AI Analysis

This work addresses texture superresolution for applications in computer graphics and image processing, but it appears incremental as it builds on existing texture synthesis techniques.

The paper tackles the problem of texture superresolution by using texture synthesis methods with additional constraints from a low-resolution version of the texture, enabling the synthesis of high-resolution textures.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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