Real Time Speckle Image De-Noising
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