Real Time Speckle Image De-Noising

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Authors: Sachin Kumar Sachin Kumar
Cited by: 0

Abstract

The paper presents real time speckle de-noising based on activity computation algorithm and wavelettransform. Speckles arise in an image when laser light is reflected from an illuminated surface. The processinvolves detection of speckles in an image by obtaining a number of frames of the same object underdifferent illumination or angle and comparing the frames for the granular computation and de-noising thesame on presence of greater activity index. The project can be implemented in FPGA (Field ProgrammableGate Array) technology. The results can be shown that the used activity computation algorithm and wavelettransform has better accuracy in the process of speckle detection and de-noising.

Fields of Study & Subjects

Image and Signal Denoising Methods Image Enhancement Techniques Adaptive optics and wavefront sensing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN