KEYWORDS: Super resolution, Edge detection, Detection and tracking algorithms, RGB color model, Autoregressive models, Distortion, Resolution enhancement technologies, Image processing, Color difference, Communication engineering
The paper presents a depth map super-resolution method of which the core content is a novel edge enhancement algorithm. Auto-regressive algorithm is applied to generate an initial upsampled depth map before the edge enhancement. Except for the low-resolution depth map, an intensity image derived from high-resolution color image is also utilized to extract accurate depth edge, which is finally rectified by combining color, depth and intensity information. The experimental results show that our approach is able to recover high-resolution (HR) depth maps with high quality. What’s more, in comparison with the previous state-of-art algorithms, our approach can generally achieve better results.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.