Final Report Application of Image Restoration Technique in Flow Scalar Imaging Experiment
نویسنده
چکیده
Scalar imaging techniques are widely used in fluid mechanics, but the effects of imaging system blur on the measured scalar gradients are often inadequately considered. Depending on the flow condition and imaging system used, the blurring can cause unacceptable errors in gradient related measurements, which are much larger than those for the scalar itself. Planar Laser-Induced Fluorescence (PLIF) images of turbulent jet fluid concentration were corrected for blur based on the Richardson-Lucy Expectation Maximization (R-L-EM) image restoration algorithm. This algorithm relies on the shot-noise limited nature of PLIF images and the measured Point Spread Function (PSF). The restored PLIF images show much higher peak dissipations and thinner fine-scale structures in the images, particularly when the structures are clustered.
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Literature Survey Application of Image Restoration Techniques in Flow Scalar Imaging Experiments
Scalar imaging techniques are widely used in fluid mechanics, but the effects of imaging system blur on the measured scalar gradients are often inadequately quantified. Imaging system blur or Point Spread Function (PSF) is very difficult to measure directly and accurately, which prevents the consideration of the blurring effects in flow imaging experiments. For flow scalar images with Poisson n...
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