Real Time Speckle Image De-Noising

TL;DR

This paper introduces a real-time speckle image de-noising method combining activity computation and wavelet transform, suitable for FPGA implementation, achieving improved accuracy in speckle detection and noise reduction.

Contribution

It proposes a novel real-time speckle de-noising approach using activity computation and wavelet transform, optimized for FPGA technology.

Findings

Enhanced speckle detection accuracy

Effective noise reduction in real-time

FPGA implementation feasibility

Abstract

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