What is he best known for?
The fields of study he is best known for:
- Optics
- Artificial intelligence
- Fourier transform
His primary scientific interests are in Optics, Phase retrieval, Algorithm, Fourier transform and Iterative reconstruction.
His research in the fields of Zernike polynomials overlaps with other disciplines such as Harmonic wavelet transform.
His work carried out in the field of Phase retrieval brings together such families of science as Image quality, Wavefront, Metrology and Metric.
His Wavefront research is multidisciplinary, incorporating perspectives in Point spread function and Ptychography, Diffraction.
James R. Fienup combines subjects such as Image processing, Fast Fourier transform and Aperture with his study of Fourier transform.
His studies in Iterative reconstruction integrate themes in fields like Ambiguous image and Maxima and minima.
His most cited work include:
- Phase retrieval algorithms: a comparison. (3920 citations)
- Reconstruction of an object from the modulus of its Fourier transform. (1258 citations)
- Efficient subpixel image registration algorithms (1137 citations)
What are the main themes of his work throughout his whole career to date?
James R. Fienup mainly investigates Optics, Phase retrieval, Fourier transform, Iterative reconstruction and Artificial intelligence.
Optics is frequently linked to Image processing in his study.
His Phase retrieval research incorporates elements of Algorithm, Translation, Point spread function and Metrology.
His study in Fourier transform is interdisciplinary in nature, drawing from both Fast Fourier transform, Aperture and Imaging spectroscopy.
His Iterative reconstruction research includes themes of Image resolution, Image quality, Detector, Speckle pattern and Spatial frequency.
His work deals with themes such as Focus, Ptychography and Adaptive optics, which intersect with Wavefront.
He most often published in these fields:
- Optics (63.25%)
- Phase retrieval (48.76%)
- Fourier transform (28.62%)
What were the highlights of his more recent work (between 2011-2021)?
- Phase retrieval (48.76%)
- Optics (63.25%)
- Wavefront (20.49%)
In recent papers he was focusing on the following fields of study:
James R. Fienup spends much of his time researching Phase retrieval, Optics, Wavefront, Interferometry and Algorithm.
His studies deal with areas such as Zernike polynomials, Point spread function, Translation and Nonlinear programming as well as Phase retrieval.
He combines subjects such as Image quality, Fast Fourier transform and Fourier transform with his study of Optics.
His Wavefront study integrates concerns from other disciplines, such as Amplitude, Focus, Remote sensing and Adaptive optics.
His Interferometry study deals with Iterative reconstruction intersecting with Object.
In the subject of general Algorithm, his work in Gaussian noise is often linked to Anscombe transform, thereby combining diverse domains of study.
Between 2011 and 2021, his most popular works were:
- Phase retrieval algorithms: a personal tour [Invited] (192 citations)
- Machine learning for improved image-based wavefront sensing. (64 citations)
- Applications of algorithmic differentiation to phase retrieval algorithms (58 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Artificial intelligence
- Laser
His scientific interests lie mostly in Phase retrieval, Optics, Wavefront, Translation and Artificial intelligence.
James R. Fienup has included themes like Algorithm, Fast Fourier transform, Point spread function, Ptychography and Iterative reconstruction in his Phase retrieval study.
His Algorithm research includes themes of Complex number and Finite difference.
His studies deal with areas such as Chirp and Fourier transform as well as Fast Fourier transform.
His Fractional Fourier transform study in the realm of Fourier transform connects with subjects such as Triple product.
His Wavefront research incorporates themes from Amplitude, Focus, Basis function and Adaptive optics.
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