FMPOD: A Novel Focus Metric Based on Polynomial Decomposition for Infrared Microscopy
Raphael Abele,Redouane El Moubtahij,Daniele Fronte,Pierre-Yvan Liardet,Jean-Luc Damoiseaux,Jean-Marc Boi,Djamal Merad +6 more
Reads0
Chats0
TLDR
An innovative autofocus method to ensure the image of an integrated circuit is correctly in focus under an infrared microscope is proposed and its robustness is tested using different magnifying lenses in addition to multiple distortions.Abstract:
This paper proposes an innovative autofocus method to ensure the image of an integrated circuit is correctly in focus under an infrared microscope. It discusses the difficulties inherent to the optical system and explores several inefficient methods used for natural scenes. It will also present a Focus Metric based on POlynomial Decomposition (FMPOD) adapted to our context. This approach relies on analyzing the projection of images on an orthonormal polynomial basis. Its robustness is tested using different magnifying lenses in addition to multiple distortions. In conclusion, we will demonstrate how this novel approach outperforms existing methods related to our work environment.read more
Citations
More filters
Journal Article
Automatic Focus Control for Assembly Alignment in a Lens Module Process
TL;DR: In this article, an auto focusing method for a multi-focus image in assembling lens modules in digital camera phones is proposed, where the desired focus can be determined on the local maximum of the sharpness, the probability and the scale factor in the experiment.
Dissertation
Transformations polynomiales, applications à l'estimation de mouvements et la classification
TL;DR: In this paper, the authors define a methode spatiale de decomposition d'image : l'image is projetee and reconstruite partiellement avec un choix approprie du degre d'anisotropie associe a l'equation de deconposition basee sur des transformations polynomiales.
Proceedings ArticleDOI
Efficient Integrated Circuits Characterization Through Computer Vision Assistance
Raphael Abele,Jean-Luc Damoiseaux,Daniele Fronte,Pierre-Yvan Liardet,Jean-Marc Boi,Djamal Merad +5 more
TL;DR: Several computer vision techniques to address laser fault injections and pattern detection problems of secure Integrated Circuits characterized by studying spatial consistency of image’s remarkable features represented by graphs are presented.
References
More filters
Journal ArticleDOI
Image information and visual quality
Hamid R. Sheikh,Alan C. Bovik +1 more
TL;DR: An image information measure is proposed that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image and combined these two quantities form a visual information fidelity measure for image QA.
Journal ArticleDOI
Localization of the complex spectrum: the S transform
TL;DR: The S transform is shown to have some desirable characteristics that are absent in the continuous wavelet transform, and provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum.
Journal Article
Localisation of the complex spectrum : The S transform
TL;DR: The S transform as discussed by the authors is an extension to the ideas of the Gabor transform and the Wavelet transform, based on a moving and scalable localising Gaussian window and is shown here to have characteristics that are superior to either of the transforms.
Light field photography with a hand-held plenoptic camera
TL;DR: The plenoptic camera as mentioned in this paper uses a microlens array between the sensor and the main lens to measure the total amount of light deposited at that location, but how much light arrives along each ray.
Journal ArticleDOI
Optical properties of intrinsic silicon at 300 K
Martin A. Green,Mark J. Keevers +1 more
TL;DR: An updated tabulation of the optical properties of intrinsic silicon relevant to solar cell calculations is presented in this article, where the absorption coeficient, refractive index and extinction co-efficient at 300 K are tabulated over the 0.25-1.45 μm wavelength range at 0.01 μm intervals.
Related Papers (5)
Information‐based methods for optics/image processing co‐design
David G. Stork,M. Dirk Robinson +1 more
Deep Super-Resolution Imaging Technology: Toward Optical Super-Vision
Seok Bong Yoo,Eung-Joo Lee +1 more