Multiframe blind deconvolution coupled with frame registration and resolution enhancement
نویسندگان
چکیده
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 8.
منابع مشابه
Image Fusion: a Powerful Tool for Object Identification
Due to imperfections of imaging devices (optical degradations, limited resolution of CCD sensors) and instability of the observed scene (object motion, media turbulence), acquired images are often blurred, noisy and may exhibit insufficient spatial and/or temporal resolution. Such images are not suitable for object detection and recognition. Reliable detection requires recovering the original i...
متن کاملMethods and algorithms for image fusion and super resolution Master of Science Thesis
This project is focused on image fusion of images of di erent focus depth and fusing for super resolution. The aim is to study these concepts and provide simulations and evaluations on various implementations. When performing multi focal fusion the images are decomposed by wavelets to obtain high frequency coe cients which is used to determine which parts of the input images that makes it into ...
متن کاملIterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery
Algorithms for image recovery with super-resolution from sequences of short-exposure images are presented in this paper. Both deconvolution from wavefront sensing (DWFS) and blind deconvolution are explored. A multiframe algorithm is presented for DWFS which is based on maximum a posteriori (MAP) formulation. A multiframe blind deconvolution algorithm is presented based on a maximum likelihood ...
متن کاملPhase-error compensation through multiframe blind deconvolution
In this paper the multiframe blind deconvolution method 1] for the identiication and correction of turbulence-induced phase aberrations in a ground-based telescope is extended to include the gains, backgrounds, and biases inherent in many charge-coupled device (CCD) cameras. In addition, an application of this method to real telescope data is described.
متن کاملAn Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction
We develop an incremental generalized expectation maximization (GEM) framework to model the multiframe blind deconvolution problem. A simplistic version of this problem was recently studied by Harmeling et al. [4]. We solve a more realistic version of this problem which includes the following major features: (i) super-resolution ability despite noise and unknown blurring; (ii) saturationcorrect...
متن کامل