Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74068
Title: Light-weight single image super-resolution for embedded systems
Authors: Leong, Lee Tian
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: We propose a learning-based single image super-resolution approach that is lightweight and suitable for embedded systems. In this project, we propose a texture extraction technique based on self-guided filter and residual interpolation. This texture extraction technique is used in the proposed super-resolution method for better texture extraction for training low resolution to high resolution transformation. We further show how the proposed method is comparable if not better than current methods. Hardware acceleration and optimization are discussed to further improve performance and reduce computation complexity for implementation on embedded systems.
URI: http://hdl.handle.net/10356/74068
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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