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Found 8 papers, 1 papers with code
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Phase retrieval in optical imaging refers to the recovery of a complex signal from phaseless data acquired in the form of its diffraction patterns.
ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging
A novel formulation of the hyperspectral broadband phase retrieval is developed for the scenario where both object and modulation phase masks are spectrally varying.
Power-Balanced Hybrid Optics Boosted Design for Achromatic Extended-Depth-of-Field Imaging via Optimized Mixed OTF
The simulation results also reveal that optimizing the optical power-balance, Fresnel order, and the number of levels parameters are essential for system performance attaining an improvement of up to 5dB of PSNR using the optimized OTF compared with its counterpart lensless setup.
Optics Image and Video Processing
Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform
Broadband hyperspectral digital holography and Fourier transform spectroscopy are important instruments in various science and application fields.
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising.
Complex-valued image denosing based on group-wise complex-domain sparsity
Phase imaging and wavefront reconstruction from noisy observations of complex exponent is a topic of this paper.
Single Image Super-Resolution based on Wiener Filter in Similarity Domain
In this paper we propose a self-similarity based approach that is able to use large groups of similar patches extracted from the input image to solve the SISR problem.
Pointwise shape-adaptive DCT for high-quality deblocking of compressed color images
The use of this shape-adaptive transform for denoising and deblurring has been recently proposed, showing a remarkable performance.
