Work

Measuring and Mitigating Speckle Noise in Dual-Axis Confocal Microscopy Images

Year: 2018

Type: conference-paper

Abstract: Speckle noise is a form of multiplicative noise that corrupts the quality of medical images. It is well described and studied in medical ultrasound imaging, but less attention has been paid to its presence in reflectance microscopy images. Presence of the speckle noise not only limits the application of further post-processing and computer vision techniques, like edge detection, but it also makes diagnostics more difficult and less reliable for physicians. Many speckle mitigation techniques have been studied by various researchers, but the vast majority of them limit themselves to a single image of the target tissue. In this study, we examined the possibility to mitigate speckle using the redundant data present in consecutive frames of the video recordings, as they provide uncorrelated data from different spatial positions. Different ways of processing the redundant data were examined and compared against conventional methodologies.

Source: International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

DOI: 10.1109/sitis.2018.00050

Authors: Davit Gigilashvili, Chengbo Yin, Jonathan T.C. Liu, Jon Yngve Hardeberg, Marius Pedersen

Institutions: Norwegian University of Science and Technology, University of Washington

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2786333354

FWCI: 0.075

Cites: 34

Cited by: 1

Related to: 10