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FIR filters for hardware-based real-time multi-band image blending

Publications associées (51)

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On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski

The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...

2020

Beyond Cameras: Real-Time High-Resolution 3D and Panoramic MultiView Vision Systems with Their Applications

Bilal Demir

The cameras are invented by imitating the human visual system to capture the scene. The camera technologies have been substantially advanced in recent years. 108 MP resolution with 100x hybrid zoom has become standard features for smartphone flagships. In ...

EPFL2020

Hardware Implementation and Applications of High Performance Multiple Camera Architectures

Kerem Seyid

Advancements in imaging technology made commercially available cameras cheaper, easily accessible with higher resolution than ever and with complex image capturing features. Today, it is estimated that more than one billion cameras sold every year. However ...

EPFL2016

Local Geometric Transformations in Image Analysis

Zsuzsanna Püspöki

The characterization of images by geometric features facilitates the precise analysis of the structures found in biological micrographs such as cells, proteins, or tissues. In this thesis, we study image representations that are adapted to local geometric ...

EPFL2016

Modeling the Importance of Faces in Natural Images

Sabine Süsstrunk, Cheryl Shaulya Lau, Appu Shaji, Gökhan Yildirim, Bin Jin

In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

Spie-Int Soc Optical Engineering2015

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

Devis Tuia

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert spa ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

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spectral ...

IEEE2014

Modeling of Reconfigurable Medical Ultrasonic Applications in BIP

Alena Simalatsar, Stefanos Skalistis

Medical ultrasonic imaging applications require high quality of images produced in real-time often with limited resources available. Deadlock-freedom and confluency must be guaranteed to insure the correctness of the applications, while feasibility and opt ...

2014

Modeling of Reconfigurable Medical Ultrasonic Applications in BIP

Alena Simalatsar, Stefanos Skalistis

Medical ultrasonic imaging applications require high quality of images produced in real-time often with limited resources available. Deadlock-freedom and confluency must be guaranteed to ensure the correctness of the applications, while feasibility and opt ...

Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik2014

Real-Time Hardware Implementation of Multi-Resolution Image Blending

Alexandre Schmid, Yusuf Leblebici, Vladan Popovic, Kerem Seyid

A novel real-time implementation of a multi-resolution image blending algorithm is presented in this paper. A multi-resolution decomposition of the input is used to blend multiple images at different scales. Processing time is shortened by designing a pipe ...

2013

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

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spectral ...

IEEE2014