RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples

Arias, Fernando X.; Sierra, Heidy; Arzuaga, Emmanuel

doi:10.1109/healthcom46333.2019.9009434

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Reflectance confocal microscopy (RCM) has become popular in clinical applications. In order to shorten the image recovery process of RCM using compressive sensing, a deep-learning-based approach was studied [ 10 ]. It was informed that deep learning is useful, but application-specific training is required.…”

Section: Introductionmentioning

confidence: 99%

Microscopic Structure from Motion (SfM) for Microscale 3D Surface Reconstruction

Lee

2020

Sensors

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In microscale photogrammetry, the confocal microscopic imaging technique has been the dominant trend. Unlike the confocal imaging mostly for transparent objects, we propose a novel method to construct a 3D shape in microscale for various micro-sized solid objects in a broad spectrµm of applications. Recently, the structure from motion (SfM) demonstrated reliable 3D reconstruction capability for macroscale objects. In this paper, we discuss the results of a novel micro-surface reconstruction method using the Structure from Motion in microscale. The proposed micro SfM technique utilizes the photometric stereovision via microscopic photogrammetry. The main challenges lie in the scanning methodology, ambient light control, and light conditioning for microscale object photography. Experimental results of the microscale SfM, as well as the modeling accuracy analysis of a reconstructed micro-object, are shared in the paper.

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Section: Introductionmentioning

confidence: 99%

Microscopic Structure from Motion (SfM) for Microscale 3D Surface Reconstruction

Lee

2020

Sensors

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RETRACTED: Cloud computing database and remote system for real-time image acquisition application in english classroom teaching

Ding

2021

Microprocessors and Microsystems

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RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples

Cited by 2 publications

References 14 publications

Microscopic Structure from Motion (SfM) for Microscale 3D Surface Reconstruction

Microscopic Structure from Motion (SfM) for Microscale 3D Surface Reconstruction

RETRACTED: Cloud computing database and remote system for real-time image acquisition application in english classroom teaching

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