Abstract

Comparing with the application of charge coupled device (CCD) sensor, a kind of interference stripe noise (ISN) can be observed easily from the complementary metal-oxide-semiconductor (CMOS) sensor-based digital holographic measurement (DHM) system because a series of optic coatings and filters are used in front of that sensor in order to improve its imaging effect. The improper assembly or the micro manufacturing error of these optic components may create the unexpected interference phenomena in the imaging sensor. To reduce that noise, an effective image processing method is developed. On one hand the Laplacian pyramid method is used to highlight the ISN and a cartoon-texture decomposition technique is carried out to remove the additive ISN. On the other hand, an improved Lee filtering is performed to restrain the multiplicative ISN. Extensive experiment results have shown that the image quality can be improved after the ISN reduction and this method is fit for solving a deionized water temperature estimation application where the texture complexity of target image is relatively low.

Highlights

  • The digital holographic measurement (DHM) [1] technique has extensive applications in the concentration diffusion computation, the liquid density estimation [2], and the particle movement test [3], etc

  • A complementary metal-oxide-semiconductor (CMOS) sensor-based DHM system is being developed for the thermal analysis research in China space station

  • The unparallel assembly of the optic filter and the CMOS sensor, or the micro machining error of optic component will lead to an abnormal light transmission in the DHM system, and some new interference phenomena will occur in the sensor surface

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Summary

Introduction

The digital holographic measurement (DHM) [1] technique has extensive applications in the concentration diffusion computation, the liquid density estimation [2], and the particle movement test [3], etc. It should be emphasized the widths between any two neighboring yellow-orange stripes may not be equal; while the ideal pink-blue stripe should have an equal-spaced distribution In this system, when the installation direction of optic filter is not parallel to the CMOS sensor strictly, the reflections of the object beams and the reference beams between the filter and the sensor surface will happen; this will lead to the new interference phenomena and create the ISNs. In other case, if the planeness or the transmittancy of the optic coating or the optic filter is not uniform, the transmissions of object beams and reference beams will deviate their designed paths; as a result the ISNs may be generated. After a series of tests it can be found the ISNs always have the additive components and the multiplicative ones; it is necessary to design an integrated method to reduce them

Proposed ISN Reduction Method
Computational Details
Experiments & Discussions
The Evaluation Experiment of Image Quality
The Evaluation Experiment of Deionized Water Temperature Estimation
Discussions
Findings
Conclusion
Full Text
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