Everything about Hybrid input-output algorithm
Algorithm for phase retrieval
The hybrid input-output (HIO) algorithm for phase retrieval is a modification of the error reduction algorithm for retrieving the phases in coherent diffraction imaging. Determining the phases of a diffraction pattern is crucial since the diffraction pattern of an object is its Fourier transform and in order to properly invert transform the diffraction pattern the phases must be known. Only the amplitude however, can be measured from the intensity of the diffraction pattern and can thus be known experimentally. This fact together with some kind of support constraint can be used in order to iteratively calculate the phases. The HIO algorithm uses negative feedback in Fourier space in order to progressively force the solution to conform to the Fourier domain constraints (support). Unlike the error reduction algorithm which alternately applies Fourier and object constraints the HIO "skips" the object domain step and replaces it with negative feedback acting upon the previous solution. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Hybrid input-output algorithmA 5-minute orientation
- Skim a recent paper: Scatter imaging with super-memory effect based on adaptive β -parameter hybrid input-output algorithm-assisted estimation of point spread functionInfluential work since 2022
- Pick up a classic book: Modern Operating SystemsThe most-reprinted book on the subject
- Read the landmark paper: Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithmCited 36 times
- Go sideways: Coherent diffraction imagingA closely related topic
- Go sideways: Phase retrievalA closely related topic
📖 Definitions
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🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm
Study on the convergence property of the hybrid input–output algorithm used for phase retrieval
Combining ptychographical algorithms with the Hybrid Input-Output (HIO) algorithm
Further study on the convergence property of the hybrid input–output algorithm used for phase retrieval
Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight
Direct Bragg-peak phase retrieval by a hybrid-input–output algorithm with proper intensity normalization
Hybrid Metaheuristic Algorithm for the Linear Ordering Problem: The Case of Tanzanian Input-Output Tables
SU-E-T-612: Hybrid-Input-Output Algorithm for IMRT Optimization with Dose-Volume Histogram Constraints
🆕 Influential since 2022
📚 Books worth reading
Modern Operating SystemsAndrew S. Tanenbaum, Herbert Bos · 1992
Neuro-fuzzy and soft computingJyh-Shing Roger Jang, Chuen-Tsai Sun · 1996
Intelligent Technologies and Engineering SystemsJengnan Juang · 2013
Advances in Neural Networks – ISNN 2013Chengan Guo · 2013
Introduction to Parallel ProgrammingPeter S. Pacheco · 2011
International encyclopedia of human geographyN. J. Thrift, Rob Kitchin · 2009- 📕Tech15projects.com · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Coherent diffraction imaging Coherent diffractive imaging (CDI) is a computational microscopy method that reconstructs images from coherent diffraction patterns without the use of…
- Phase retrieval Phase retrieval is the process of algorithmically finding solutions to the phase problem. Given a complex spectrum F(k), of amplitude |F(k)|, and phase…
- Difference-map algorithm The difference-map algorithm is a search algorithm for general constraint satisfaction problems. It is a meta-algorithm in the sense that it is built from…
- Computational imaging Computational imaging is a class of imaging methods in which images or quantitative maps are reconstructed from measurements using algorithms. In a conventional…
- Ptychography Ptychography (/t(a)ɪˈkɒgrəfi/ t(a)i-KO-graf-ee) is a computational microscopy technique that reconstructs the complex-valued image (amplitude and phase)…
- Fourier ptychography Fourier ptychography is a computational imaging technique based on optical microscopy that consists in the synthesis of a wider numerical aperture from…
- Computational microscopy Computational microscopy combines tailored illumination, coherent scattering, and algorithmic reconstruction to generate quantitative 2D and 3D images…
- Gerchberg–Saxton algorithm The Gerchberg–Saxton (GS) algorithm is an iterative phase retrieval algorithm for retrieving the phase of a complex-valued wavefront from two intensity…