Image noise will inevitably be produced during the acquisition and transmission of digital images due to environmental interference or device component failure. Salt-and-Pepper Noise (SPN) is a typical sort of image noise. The noisy pixels, which can be described as randomly distributed white and black pixels on the image when SPN corrupts it, have the maximum and minimum values. SPN not only reduces the image quality but also drastically impairs the ability to retrieve image edge details. To enhance the image’s quality, it is crucial to use a top-notch image denoising method. The Euclidean-Distance-based Switching Adaptive Mean Filter (EDSAMeanF) is a new algorithm introduced in this paper. This technique splits the pixels into two groups: noisy pixels and regular pixels. The next step is to process each noisy pixel individually in order. Its templates are built using the Euclidean distance and are adaptive based on the noise density. This method is distinguished by its simple structure, quick execution, and robustness. Finally, we test with 10 common images and evaluated EDSAMeanF against 9 cutting-edge filters in terms of SSIM, MS-SSIM and PSNR. The result reveals that when the noise density is less then 50%, the denoising effect of EDSAMeanF is the state-of-the-art.
Wave-front coding (WFC) is a technique that adds a phase plate to an optical system's pupil exit surface. This technique first encodes the image so that the system's optical transfer function is insensitive to out-of-focus throughout a wide depth-of-focus (DoF), resulting in a blurred image. Furthermore, image noise would inevitably be generated because of device part failure or external interference. As a result, we would acquire a noisy and blurred image. The image needs to be restored to improve the imaging system's DoF. A series of experiments have been carried out to find the optimal image restoration solution. In this paper, we proposed a three-step image restoration scheme for noisy blurred images after cubic phase plate. At first, we used the Min-Max Average Pooling-based Filter (MMAPF) to remove salt-and-pepper noise. Then we used Shearlet to remove Gaussian noise. Finally, for image deblurring, we used the Amended Landweber (ALW) algorithm. Experiments on real infrared images show that this scheme has excellent performance and robustness for image restoration when applied to a cubic phase plate.
An experimental system was established to study the 12kW fiber laser irradiation effects on thin LY12-CZ plate. The laser spot on the plate, the change of surface morphology, the change of rear surface temperature as well as the penetration time of the plate were measured. During the laser irradiation, the phenomena of bagging, necking, and perforation were observed on the thin aluminum plate in the irradiated area, which was collectively referred to as the "bagging" effect. In our view, the "bagging" effect is related to the two oxide films formed on the front and rear surfaces of the thin aluminum plate. And a model of molten aluminum flow in a sandwich structure was proposed to analyze the mechanism of the "bagging" effect. The measurement results of the two-color radiation thermometer and the time-of-penetration detector were also consistent with the model and the "bagging" effect.
We study, through simulation, the intensity properties of the ideal Bessel-Gaussian(BG) and combined Bessel(CB) vortex beams through atmospheric turbulence. The results show that there are many petals outside the intensity hole of a CB vortex beam. When the topological charges are the same, the intensity-hole radius and aperture averaged scintillation of a CB beams are much bigger, but the energy efficiency is much smaller than that of a BG beam. With the increasing of the topological charges, the intensity-hole radii and aperture averaged scintillation of two types of Bessel beams increase, but the energy efficiency decrease.
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