The non-uniform response of infrared focal plane array (IRFPA) detectors has a serious impact on image quality. First, the image is not clear visually, there are serious fixed mode noise, and second, the dynamic range, which reduces the resolution of infrared image. In view of the shortcomings of the existing non-uniformity correction schemes and the actual engineering requirements, this paper proposes a scheme combining registration-based correction algorithm with micro-motion system, which calculates the relative displacement between two adjacent images by projection estimation. At this time, the scene motion is judged. When the motion is inadequate, the scene motion is controlled to make the controller operate according to a certain trajectory, so that the scene conditions can meet the requirements of the correction algorithm as far as possible, solve the practical application requirements, make the image quality achieve better results, and perform the performance of the algorithm. The test results show that the scheme can effectively correct the non-uniformity and obtain better correction effect.
Aiming at the problem of three dimensional reconstruction of photon-limited objects, a new method of Bayesian adaptive estimation is proposed based on the photon counting integral imaging (II) system to improve the quality of reconstructed depth slice images. Firstly, an array of photon counting elemental images is obtained by the photon counting II system. Then, a local adaptive mean factor is introduced into the Bayesian framework as a form of exponential prior distribution. Finally, elemental images estimated by the posterior mean are back propagated to reconstruct depth slice images. The experimental results reconstructed by the proposed method achieve higher peak signal-to-noise ratio than the traditional Bayesian method under photon-starved conditions.
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.