Single-view phase retrieval of an extended sample by exploiting edge detection and sparsity.

نویسندگان

  • Ashish Tripathi
  • Ian McNulty
  • Todd Munson
  • Stefan M Wild
چکیده

We propose a new approach to robustly retrieve the exit wave of an extended sample from its coherent diffraction pattern by exploiting sparsity of the sample's edges. This approach enables imaging of an extended sample with a single view, without ptychography. We introduce nonlinear optimization methods that promote sparsity, and we derive update rules to robustly recover the sample's exit wave. We test these methods on simulated samples by varying the sparsity of the edge-detected representation of the exit wave. Our tests illustrate the strengths and limitations of the proposed method in imaging extended samples.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Extended ratio edge detector for despeckled SAR image evaluation

Synthetic aperture radar (SAR) images due to the usage of coherent imaging systems are affected by speckle. So lots of despeckling filters have been introduced up to now to suppress the speckle. Hence, objective and subjective evaluation of the denoised SAR images becomes a necessity. Thereby lots of objective evaluating estimators are introduced to evaluate the performance of despeckling filte...

متن کامل

Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis

We consider the problem of high-dimensional misspecified phase retrieval. This is where we have an s-sparse signal vector x∗ in R , which we wish to recover using sampling vectors a1, . . . , am, and measurements y1, . . . , ym, which are related by the equation f(〈ai,x∗〉) = yi. Here, f is an unknown link function satisfying a positive correlation with the quadratic function. This problem was r...

متن کامل

Quad-pixel edge detection using neural network

One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...

متن کامل

Quad-pixel edge detection using neural network

One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. Several edge detectors have been developed in the past decades, although no single edge detector...

متن کامل

Sample-Efficient Algorithms for Recovering Structured Signals from Magnitude-Only Measurements

We consider the problem of recovering a signal x∗ ∈ R, from magnitude-only measurements, yi = |〈ai,x〉| for i = {1, 2, . . . ,m}. This is a stylized version of the classical phase retrieval problem, and is a fundamental challenge in nanoand bio-imaging systems, astronomical imaging, and speech processing. It is well known that the above problem is ill-posed, and therefore some additional assumpt...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Optics express

دوره 24 21  شماره 

صفحات  -

تاریخ انتشار 2016