Minimum L0-Norm Two-Dimensional Phase Unwrapping Algorithm Based on the Derivative Variance Correlation Map
نویسندگان
چکیده
منابع مشابه
Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping
A sparse-representation-based direct minimum L (p) -norm algorithm is proposed for a two-dimensional MRI phase unwrapping. First, the algorithm converts the weighted-L (p) -norm-minimization-based phase unwrapping problem into a linear system problem whose system (coefficient) matrix is a large, symmetric one. Then, the coefficient-matrix is represented in the sparse structure. Finally, standar...
متن کاملA Factor-Two Approximation Algorithm for Two-Dimensional Phase Unwrapping
Two-dimensional phase unwrapping is the problem of deducing unambiguous “phase” from values known only modulo 2π. Many authors agree that the objective of phase unwrapping should be to find a (weighted) minimum of the number of places where adjacent discretized phase values differ by more than π. This problem, which is known to be NP-hard, is of considerable practical interest, largely due to i...
متن کاملAn improved proportionate NLMS algorithm based on the l0 norm
The proportionate normalized least-mean-square (PNLMS) algorithm was developed in the context of network echo cancellation. It has been proven to be efficient when the echo path is sparse, which is not always the case in realworld echo cancellation. The improved PNLMS (IPNLMS) algorithm is less sensitive to the sparseness character of the echo path. This algorithm uses the l1 norm to exploit sp...
متن کاملPhase-unwrapping algorithm for noisy phase-map processing.
Automated fringe-pattern processing is important in a great number of industrial applications, such as optical data testing and quality control. One of the main problems that arises with these processes is the automated phase unwrapping of the phase map associated with the fringe pattern. Usually the phase map presents problems such as noise, and low-modulation areas. A new phase-unwrapping alg...
متن کاملOn phase unwrapping based on minimum cost flow networks
Phase unwrapping is a key step in the SAR interferometric processing chain as it converts the phase information derived from an interferometric image pair into valuable height information. Many algorithms have been developed to solve the phase unwrapping problem. None of the algorithms implemented so far has met with all the requirements for an optimal solution. Recently, a very promising appro...
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: Journal of Physics: Conference Series
سال: 2006
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/48/1/057