An Adaptive Image Registration Technique to Remove Atmospheric Turbulence
نویسندگان
چکیده
منابع مشابه
Atmospheric Turbulence Restoration by Diffeomorphic Image Registration and Blind Deconvolution
A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group.
متن کاملLocal image registration: an adaptive filtering framework
We present a novel local image registration method based on adaptive filtering techniques. The proposed method utilizes an adaptive filter to track smoothly, locally varying changes in the motion field between the images. Image pixels are traversed following a scanning order established by Hilbert curves to preserve the contiguity in the 2-D image plane. We have performed experiments using both...
متن کاملAn Efficient Technique to Remove Transformations
Although the application of code transformations is critical to exploit parallelism in program code, few guidelines or tools are provided to determine what transformations should be applied and where they should be applied. In this paper, we approach this problem by first providing a taxonomy of code transformations to assist the user in parallelizing programs. We then present an efficient tech...
متن کاملDPML-Risk: An Efficient Algorithm for Image Registration
Targets and objects registration and tracking in a sequence of images play an important role in various areas. One of the methods in image registration is feature-based algorithm which is accomplished in two steps. The first step includes finding features of sensed and reference images. In this step, a scale space is used to reduce the sensitivity of detected features to the scale changes. Afterw...
متن کاملAdaptive Optical System Atmospheric Turbulence Generator Testbed
At the Naval Research Laboratory (NRL), we have developed a testbed for simulating atmospheric turbulence using Kolmogorov statistics for testing the correctibility of an Adaptive Optical System (AOS). In this testbed, a Liquid Crystal Spatial Light Modulator is being used to induce the atmospheric turbulence and a MEM deformable mirror is being used in the AOS to correct it. This atmospheric t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics, Optimization & Information Computing
سال: 2019
ISSN: 2310-5070,2311-004X
DOI: 10.19139/soic.v7i2.432