KEYWORDS: Computer programming, Image compression, Imaging systems, Signal to noise ratio, Digital micromirror devices, Compressed sensing, Sensors, Reconstruction algorithms, Image processing, Geographic information systems
We put forward a new method based on compressed encoding imaging faced with detection for height limit. In the beginning of this paper, we focus on hadamard encoding, and analysis the SNR of hadamard encoding. Then, a new encoding matrix M based on hadamard matrix been put forward. Matrix M is suitable for the sparse image obtained from the detection for height limit, and implement easily on the DMD. Compressed encoding imaging simulation based on measurement matrix M have been done in our work, and demonstrates the feasibility of the design method.
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.