Image restoration of optical sparse aperture systems based on a dual target network

Comparison of Optical Sparse Aperture Image Restoration with Experimental PSF and Designed PSF

Designed PSF Zhiwei Zhou, Dayong Wang Applied Science, Beijing University of Technology, Beijing, 100124, P.R.China Juan Zhao, Yuhong Wan, Zhuqing Jiang, Shiquan Tao Applied Science, Beijing University of Technology, Beijing, 100124, P.R.China Abstract The digital post-processing method is needed to restore the image quality from the blurring image output directly from optical sparse aperture i...

Image Restoration Using A PDE-Based Approach

 Image restoration is an essential preprocessing step for many image analysis applications. In any image restoration techniques, keeping structure of the image unchanged is very important. Such structure in an image often corresponds to the region discontinuities and edges. The techniques based on partial differential equations, such as the heat equations, are receiving considerable attention i...

Design of an Improved Optical Filter Based on Dual-Curved PCRR for WDM Systems

In this paper, an optical filter based on a two dimensional photonic crystalring resonator (PCRR) with triangular lattice is designed and presented. For thispurpose, the effects of positioning, arrangement and the number of the inner rods of thedual-curved PCRR on the performance characteristics of our optical filter such as thetransmission coefficient and the quality factor have been fully inv...

Finger-Vein Image Restoration Based on a Biological Optical Model

Image Restoration by Variable Splitting based on Total Variant Regularizer

The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual person who is unfamiliar with the original image. In this paper, different images are degr...